Photonic Technologies for Agriculture

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Photonic Technologies for Agriculture
Photonic Technologies
for Agriculture

A joint study by
Photonic Technologies for Agriculture
Publisher                                                             Idea & Concept
SPECTARIS | www.spectaris.de                                          Mike Bähren, SPECTARIS e. V., Jörg Mayer, SPECTARIS e. V.
Messe München GmbH | www.messe-muenchen.de/en                         Anke Odouli, Messe München GmbH, Benoît d’Humières,
                                                                      TEMATYS, Dr. Wenko Süptitz, SPECTARIS e. V.
Design
GDE | Kommunikation gestalten | www.gde.de                            Editorial
                                                                      Editorial team manager: Mike Bähren | SPECTARIS e. V.
Photos
Adobe Stock: Cover, pp. 11, 12, 14, 18, 20, 22, 27, 29, 31,           Author of the trend report
32, 33, 39, Pixabay: pp. 10, 16, Nynomic - The Photonics              Benoît d’Humières, TEMATYS
Group (iStockphoto): pp. 40, 45 (photo on the left),
Nynomic - The Photonics Group: pp. 41-47, Hamamatsu                   Edition
Photonics Deutschland GmbH: pp. 48-49, Carl Zeiss                     1st edition | Berlin/Munich | February 2023
Spectroscopy GmbH: pp. 50-53, Messe München GmbH:
pp. 5, 57, Spectaris: pp. 4, 58, Tematys: pp. 2, 59

Disclaimer
                                                                                                 BENOÎT D’HUMIÈRES
The information, data, and calculations in this trend report
were compiled with the greatest care. They are based on
information from the institutions, companies, and other
sources mentioned in this trend report. However, the
parties involved in this report, i.e., Messe München GmbH,
SPECTARIS, and TEMATYS (hereinafter called the “pro-
ject partners”) do not accept any liability for how correct,
complete, and up-to-date this information is. The project
partners have not reviewed the ownership of rights and the               ABOUT THE AUTHOR
associated exploitation rights of the institutions and com-
panies mentioned in the study. The project partners do not               Benoît d’Humières graduated in Physics and Chem-
assume any guarantee or accept any potentially related lia-              istry from the ESPCI Paris – PSL and the Sorbonne
bility. Nevertheless, should the rights of any third parties be          University. He is an expert in Optics, Electronics
infringed by the study, this is done without the knowledge               and Instrumentation for industrial and research
and intention of the project partners. In the event that such            applications.
infringements come to the attention of the project partners,
they will be removed from the study going forward follo-                 In 1991, after some years of research at the Uni-
wing appropriate consultations with the respective com-                  versity of Florida, he became an innovation consul-
pany or institute. Despite carefully reviewing the content               tant. He has run many marketing and technological
of guest articles, the authors are not responsible for these             studies for companies of any size and Research
contributions. The opinions expressed in guest articles do               institutions. Benoît has also taught the marketing
not necessarily reflect the opinions of the project partners.            of photonic technologies at the Institut d’Optique-
                                                                         Graduate School (Palaiseau, France).

Prohibited reproduction
                                                                         TEMATYS is an independent, medium-sized consul-
The trend report may only be copied (in full or in excerpts)
                                                                         tancy firm which focuses on studies and strategies
and the images contained in the study may only be used
                                                                         in the areas of optics, photonics, sensor technolo-
with the express approval of the publisher or owner of the
                                                                         gy, imaging, quantum technology and their applied
relevant picture rights. The results may be published if the
                                                                         markets.
sources are referenced.

                                                                  2
Photonic Technologies for Agriculture
Table of contents

FOREWORD BY THE EDITORS

The fourth agricultural revolution has begun
Jörg Mayer // Chief Executive Officer SPECTARIS                               4

A giant task – that can be solved with photonics
Dr. Reinhard Pfeiffer // Executive Director Messe München                     5

EXECUTIVE SUMMARY                                                             6

WHAT IS AT STAKE / AGRICULTURE FACE GREAT CHALLENGES                         10
Agriculture faces great challenges                                           11
The demographic challenge                                                    12
Pressure on land                                                             13
The only way – produce more and better per hectare                           14
No evolution of farming without the full participation of farmers            15

PRECISION FARMING IS AN ANSWER TO THE
MAJOR CHALLENGES AHEAD                                                       16
A need for new farming approaches that are more productive and sustainable   17
Precision farming relies mainly on four technology families                  17
Every step of the agriculture value chain can be improved
by a precision farming approach                                              18
Selected applications of precision farming                                   19

NO PRECISION FARMING WITHOUT PHOTONICS                                       20
Photonics is the science of harnessing light to benefit humankind            21
Photonics technologies are able to measure complex data at any scale         21
Photonics is a key enabler of EVERY precision farming application            24

MARKET FIGURES                                                               27
Market analysis and forecast                                                 28
Market expectations                                                          30
Outlook31

LANDSCAPE32
Global inventory of companies                                                33
Brief description of the German landscape                                    39
Some representative examples                                                 40
Useful definitions and glossary                                              42

                                              3
Photonic Technologies for Agriculture
FOREWORD OF THE EDITORS

The fourth agricultural
revolution has begun
Jörg Mayer
CEO of the German Industry Association SPECTARIS

Photonics is a jack-of-all-trades. Those of us who work in         their users in the agricultural sector well and target them.
the industry know its huge technological possibilities.            The technological concept for the new and better solutions
                                                                   can be summarized under the term precision agriculture,
And In fact, photonics holds the key to solving the challen-       which is based on four technology families: robotics and
ges of the 21st century. It can drive technological progress       automation technology, imaging and sensors, digitization
in a wide range of areas, such as sustainability, CO2 reduc-       and big data analytics, and bioengineering. Photonics con-
tion, healthcare, changes in traffic volumes, autonomous           tributes to this by detecting, monitoring, understanding, and
driving, e-mobility, semiconductors, quantum systems, and          controlling. And, as you can already guess, none of these
communication.                                                     technology areas would be conceivable without photonics.
                                                                   Numerous solutions already exist, and yet precision agricul-
In all these areas, photonics forms the indispensable basis        ture is only in its infancy. The variety of ideas and innova-
for technological progress, without which the major chal-          tions is enormous, just like the potentia. Annual growth of
lenges facing society cannot be solved. In this study, we          15 percent is expected in the coming years alone. We hope
would like to shed light on another field: food production.        you enjoy reading about an area that will have an impact on
                                                                   all our lives. We are still talking about the energy revolution,
Given the large number of people worldwide with poor               but soon we will be talking about the agricultural revolution.
access to sufficient or good food, there is a great need for
technological solutions that are also sustainable and leave
the paths of conventional agriculture with its immense side
effects on the environment behind.
Photonics does not provide the one technological solu-
tion to this challenge, in the same way that, for example,
improved battery technology was a game changer for
electromobility. Rather, photonics provides building blocks                                   JÖRG MAYER
of technical solutions that make agriculture more precise,
faster and more efficient. Nor is there one user for photo-                                  CEO of the German Industry
nics suppliers to focus on. The target groups are widely                                     Association SPECTARIS
distributed along the agricultural value chain. For each
user target group, it is worthwhile to be on the lookout now
and in the coming years for technological advances that
hold substantial efficiency gains. Conversely, developers
of photonic components and solutions should get to know

                                                               4
Photonic Technologies for Agriculture
Photonic Technologies for Agriculture

A giant task – that can be
solved with photonics
Dr. Reinhard Pfeiffer
CEO of Messe München GmbH

In traditional agriculture, farmers knew their farmland              executed by highly automated machines in the fields.
inside out. From experience, they knew where weeds                   Finally, resilient crops will be essential in the face of
sprouted, where plants often withered or where yields were           tougher environmental conditions. With high-end
higher. With this knowledge they could manually fertilize,           microscopy and analysis equipment, photonics also has
sow, or apply pesticides with high precision.                        the right solutions up its sleeve here. LASER World of
                                                                     Photonics 2023 will give you an idea of what solutions
But when it comes to feeding 11 billion people in the future,        such as these could look like.
agriculture will have to operate on a completely different
scale. Highly mechanized, with high working widths and               Light is the key to feeding the world: in photosynthesis,
high speeds, it will plow, harrow, sow, and fertilize its            of course, but also through photonic contributions to the
expanded croplands. Autonomous steering devices and                  highly productive and sustainable agriculture of the future.
robots will increasingly be used. In livestock farming, too,
the trend is toward automation – be it in cleaning stables,
feeding, or milking. In such highly productive agriculture,
the close relationship with the soil and livestock is inevita-
bly lost. And that is where photonics and its solutions come
into play. Sensor and imaging technologies – mounted on
drones, tractors, or machines – are replacing the watchful
eye of the traditional farmer. They help transfer precision
fertilization, seeding, and crop protection to data-driven
high-performance agriculture.

This study demonstrates the huge potential of photonics
for agriculture and its gigantic task of feeding billions of                                   DR. REINHARD PFEIFFER
people despite climate change. It shows how photonics
helps to increase productivity while using precision farming                                 CEO
methods to manage with less fertilizer and pesticides by                                     Messe München GmbH
only using them where they are really needed. Sustainable
progress in agriculture is also linked to photon-controlled
broadband data networking, which ensures that all cultiva-
tion plans based on sensor and harvest data are optimally

                                                                 5
Photonic Technologies for Agriculture
EXECUTIVE SUMMARY

 Executive Summary:
 Photonic technologies
 for agriculture

 Agriculture harnesses the wonders of
 nature to feed the human population.
Yet 11 percent of humanity was undernourished in                  feed, is becoming less and less efficient, and the resulting
2021, and 3 billion people could not afford a healt-              pollution of the soil by excess inputs is becoming less and
hy diet in 2019. The world’s population is expected               less acceptable to society.
to grow from 8 billion people in 2022 to 11 billion in
2100. That represents a 40 percent increase (source:              In addition, agriculture must not only dramatically increase
see page 12). Agriculture will not be able to expand              yields, but also improve practices to stop soil degradation,
the area under cultivation at the same rate in order to           reduce pesticides, maintain biodiversity, reduce green
provide everyone with sufficient food of the highest              house gas emissions, and adapt to the effects of global
possible quality.                                                 warming.
                                                                  The agriculture of the future will therefore have to rely on
Agricultural land already accounts for about 37 percent           science, technology and the resulting new, innovative agri-
of total land area. Around 33 percent of the world’s soils        cultural approaches such as precision farming.
are moderately to severely degraded. Soil erosion carries         Precision agriculture is an agricultural management con-
away 20 to 37 billion metric tons of topsoil annually,            cept based on observing, measuring, and responding to
reducing crop yields and the soil’s ability to store and          variations between and within fields. The goal of precision
distribute carbon, nutrients, and water. The rapid expan-         agriculture is to develop technical solutions to optimize
sion of cities into less populated areas further narrows          yields from inputs while conserving resources. Precision
the available space. Deforestation is equally harmful, as         agriculture also encompasses new agricultural concepts
it threatens biodiversity and increases greenhouse gas            such as vertical or urban agriculture, which are also based
concentration in the atmosphere. The supply of more               on scientific optimization of growth processes and disease
and more inputs, such as fertilizers, pesticides, or animal       and pest control.

                                                              6
Photonic Technologies for Agriculture
All four of these critical precision agriculture tech-
                                                               nology families are highly dependent on photonic
                                                               technologies and solutions. Photonics contributes
                                                               through:
                                                               Detection,
                                                               Monitoring,
                                                               Understanding, and
                                                               Control.
                                                               Photonics provides the most efficient tools for
Precision agriculture is based on four main technology         sensing, monitoring, control but also lighting, clea-
families (source: Roland Berger)                               ning, sanitizing and boost the plant growth.

    obotics and automation technology:
   R                                                              P
                                                                   hotonic technologies and solutions:
   Autonomous work is enabled by automated steering               Robots require photonic sensors (cameras, lidars,
   technology and high-precision positioning systems,             etc.) to move autonomously, explore their environ-
   as well as by integrated electronic communication              ment, make decisions, and perform their tasks.
   systems.

   I mage processing and sensors:                                I magery and sensors:
    Data for assessing soil and crop health, etc. are              Imaging is the recording of light, so all imaging
    collected via sensors, remote sensing systems, and             is inherently photonic. Photonics is the only way
    geo-mapping.                                                   to perform advanced analysis without contact.
                                                                   Most sensors for disease detection, soil and water
                                                                   analysis, crop and fruit quality, etc. are based on
                                                                   photonics.

    igitization and big data analytics:
   D                                                              D
                                                                   igitization and big data analytics:
   Data is analyzed to improve climate and soil forecas-          Fiber optics are the backbone of telecommunica-
   ting, equipment performance optimization, and remote           tions networks. Transceivers, those components
   control in field monitoring.                                   that convert light into electricity and vice versa, are
                                                                  critical to the performance of data centers.

   B
    ioengineering:                                                ioengineering:
                                                                  B
   Seeds and chemicals are selected based on external             Bioengineering research relies heavily on micro-
   conditions and seed development to improve                     scopy techniques. Genetics would not be possible
   resistance to specific agricultural and/or climatic            without PCR analysis read by photonic techno-
   conditions.                                                    logies.
                                                                  Phenotyping is based on advanced imaging.
                                                                  Almost all instruments used in science are based
                                                                  on photonics.

                                                           7
Photonic Technologies for Agriculture
EXECUTIVE SUMMARY

                            Collect and map                                                       Adjust chemical
        Centimeter                                     Develop new
                           data using sensors                                                     inputs based on
      accuracy when                                  varieties adapted    Adapt and choose
                           mounted on moving                                                      plant health and
        driving and                                 to climate change,     seeds/chemical
                              machines                                                           growth monitoring.
        machining                                   which require fewer   inputs based on soil
                             (moisture, nu-                                                      Also adjust inputs
     (GPS positioning,                              inputs or are more      property analysis.
                           trients, compaction,                                                   with centimeter
    GNSS, LIDARS, etc.)                                 productive.
                              crop diseases)                                                         accuracy

     Robotic weeding                                                                                  Optimize
     and pest control                                                                             lighting, reduce
    as an alternative to                                                                              energy
        chemicals                                                                                  consumption

      Reduce famer’s                              Photonics is a key
                                                                                                  Optimize produc-
     workload through
                                                  enabler of EVERY                               tivity of greenhou-
       robotics and
                                                                                                   ses and vertical
       autonomous                                 precision farming
                                                                                                        farming
        machining
                                                     application

       Help decision
       making with
                                                                                                 Minimize irrigation
     handheld and low-
                                                                                                  needs and water
    cost sensors, equip-
                                                                                                   consumption
       ment and/or
     smartphone apps

      Share data and
     alerts with other
                              Evaluate crop
     agriculture stake-
                             quality, sort crop                              Optimize and         Provide accurate
      holders (neigh­                                Monitor livestock
                           by quality standard,                            monitor livestock     and local weather
      boring farmers,                                  wellbeing
                            remove unwanted                                    growth                forecasts
       cooperatives,
                              particles, etc.
     banks, inputs, and
    seed suppliers etc.)

                                                             8
Photonic Technologies for Agriculture
Photonic Technologies for Agriculture

The global market for photonics for precision agriculture               advent of LEDs, lighting a greenhouse is not only more
is currently worth around 4.6 billion euros and is expected             energy efficient and saves a lot of CO2 emissions, it is
to virtually double by 2027 to a value of 9.1 billion euros.            now also possible to adjust the wavelength of the light-
This corresponds to annual growth of around 15 percent.                 ing to provide exactly the light that the plants need and
                                                                        promote their growth.
Lighting and UV disinfection still account for the largest
share, but many other emerging technologies and fields of            UV disinfection is currently the second largest market.
application have enormous potential.                                 Disinfected water is needed in agriculture, breeding, dairy
                                                                     production, nurseries, soil-less production, hydroponics/
Lighting includes greenhouse lighting and new types of               aeroponics, disinfection of drain backwaters, and re-
agriculture such as vertical or urban farming. With the              processing of nutrient solutions, or simply for irrigation.
                                                                                                    But UV can do even more:
                                                                                                    recent studies have shown
  Global market forecast                                                                            that irradiating crops with
  EUR million                                                                                       UV-C boosts plant immuni-
   10,000                                         9,071                                             ty and significantly reduces
                                                        TOTAL
                                                                                                    the need for chemicals to
                                                   5,933
                                                        Horticulture and greenhouse illumination    control pests and diseases.
                                                                                                    This is still a very young
                                                                                                    but promising market.
                                                   2,231                                            Other opportunities for
                                                        UV disinfection
                                                                                                    photonics in agriculture
                                                                                                    include imaging systems,
                                                                                                    either permanently instal-
    1,000
                                                                                                    led or built into drones or
                                                                                                    robots, that can monitor
                                                                                                    crop growth, animal wel­
                                                    342                                             fare and disease detection.
                                                          Analytical

                                                                                                         A more traditional but still
                                                    146                                                  important market is all
                                                          Refractometers
                                                    112                                                  instrumentation for
                                                          Handheld and on-field system (spectroscopy)
     100                                                  Drone imaging, on-field and in-line imaging    monitoring, disease
                                                    106 (RGB cameras)
                                                        hyperspectral + multispectral                    diagnosis, quality assess-
                                                    72                                                   ment and control, and
                                                                                                         sanitation testing. Equip-
                                                                                                         ment that was once only
                                                                                                         used in laboratories is be-
                                                     19
                                                          UV on-field/in-line                            coming more miniaturized
                                                                                                         and can now be handheld
                                                                                                         or attached to tractors and
       10
                                                                                                         machinery for precision
            2022    2023    2024    2025    2026    2027
                                                                                                         agriculture in the field.

                                                                    9
Photonic Technologies for Agriculture
WHAT IS AT STAKE

 What is at stake
 Agriculture faces
 great challenges

                   Agriculture faces great challenges                                  11

                   The demographic challenge                                           12

                   Pressure on land                                                    13

                   The only way – produce more and better per hectare                  14

                   No evolution of farming without the full participation of farmers   15

                                    10
Photonic Technologies for Agriculture

Agriculture faces
great challenges
                                                                     The challenges ahead
Agriculture exploits of the wonders of nature to feed hu-
mans and domesticated animals. However, 11 percent of                 D
                                                                        emographics / feeding the world
the world‘s population was undernourished in 2021, and the
total number of people on the planet is expected to grow              E
                                                                        nd undernourishment and improve
from 7.87 billion in 2021 to around 11 billion in 2100 – an           access to high quality food
increase of 40 percent (source: see page 12). It will not be          S
                                                                        top land degradation
possible to make additional land available to agriculture to
                                                                      R
                                                                        educe pesticide use
match this population growth. As a result, feeding everyone
will become a major challenge. The expansion of cities and            R
                                                                        educe but also adapt to global
urban areas is putting significant pressure on some                   warming impact
regions, and deforestation is not an option as it threatens           R
                                                                        educe GHG emissions
biodiversity and increases greenhouse gas emissions.
But that is not all: while its yields have to increase drama-
tically, agriculture must also improve its practices: stop
land degradation, preserve diversity, reduce pesticide use,
reduce greenhouse gas emissions, and adapt to the effects            The solutions
of global warming.
                                                                      C
                                                                         onduct scientific, economic, and social
In order to face these great challenges, agriculture needs to           studies to understand the challenges
dramatically improve the governance and management of                   ahead and develop solutions
resources: land, water, ocean, fish, forests, etc. but also
biodiversity, especially insects and birds which are vital
for pollination. But these objectives will not be easy to             D
                                                                         evelop new farming approaches
achieve. A lot of scientific, economic, and social studies              and technologies that are
will be needed to improve current agricultural practices.                  • Science-based
And any recommendation as well as their implementation
should take into account local farmers, their traditions,                  • Respectful of traditions, habits,
habits, social organization, ancestral knowledge of their                    social organization, ancestral
own land, agricultural practices and investment capacity.                    agricultural practices, and
In other words, the agriculture of the future will rely on                   knowledge of local population
science and technologies, as well as new and innovative                    • Compatible with farmers’ investment
approaches to farming, such as precision farming. But                        capacity
greater use of science-based methods and the adoption
of more advanced technologies cannot be implemented
unless farmers accept and play a part in these changes.               S
                                                                         upport the adoption of new farming
Farmers are the most important stakeholders in the value                approaches and practices
chain, and extensive education and training programs will             T
                                                                         rain and educate farmers
be necessary in order to allow farmers to be proactive
partners join the agriculture revolution ahead.

                                                                11
WHAT IS AT STAKE

The demographic challenge

                                                                                                                                  13

                                                                                                                                  12
                                                                                                                                                                            MEDIUM VARIENT
                                                                                                                                  11

                                                                                                                                  10

                                                                                                    TOTAL POPULATION (BILLIONS)
                                                                                                                                   9

                                                                                                                                   8

                                                                                                                                   7

                                                                                                                                   6
                                                                                                                                                                   95 % PREDICTION INTERVAL
                                                                                                                                   5

                                                                                                                                   4

                                                                                                                                   3

                                                                                                                                   2

                                                                                                    YEAR                           1950      1975      2000    2025      2050     2075        2100

      Total population                                                                                                            7027       million
                                                                                                                                  not undernourished
                                  13

                                  12
                                                                     MEDIUM VARIENT
                                  11

                                  10
    TOTAL POPULATION (BILLIONS)

                                   9

                                   8

                                   7

                                   6
                                                             95 % PREDICTION INTERVAL

                                                                                                                                                                                768
                                   5
                                                                                                                                  AFRICA
                                                                                                                                                                                        million
                                   4

                                   3
                                                                                                                                  282        million                            undernourished

                                   2                                                                                                                                            ASIA

                                  1950   1975      2000   2025    2050     2075         2100
                                                                                                                                  OCEANIA
                                                                                                                                                                                418
                                                                                                                                  3
   YEAR                                                                                                                                                                                    million
                                                                                                                                       million

                    million       7027                                                                                            NORTHERN AMERICA
                                                                                                                                                                                LATIN AMERICA
                                                                                                                                                                                AND THE CARRIBEAN

                                                                                                                                                                                    60
  T
     henot
          world’s population is expected to grow from
             undernourished                                                                                                       AND EUROPE
  7.87 billion in 2021 to around 11 billion in 2100,                                                                              n.r.                                                     million

  i.e., an increase of 40%.
                                                                                                                                  Notes: Number of undernourished in millions. Projected values based
  In 2019, 11 percent of humankind were undernourished                                                                           on the middle of the projected range.
                                                                                                                                  n.r. = not reported, as the prevalence is less than 2.5 percent.
  and 3 billion people were unable to afford a healthy diet.                                                                      Source: FAO

United Nations, Department of Economic and Social Affairs, Population Division (2019). World Population Prospects 2019, Volume II: Demographic Profiles (ST/
ESA/SER.A/427).FAO. 2021. La Situation mondiale de l’alimentation et de l’agriculture. Rendre les systèmes agroalimentaires plus résilients face aux chocs et aux
        AFRICA
situations de stress. Rome, FAO. https://doi.org/10.4060/cb4476fr
                                                                         768     million
                                  282    million                         undernourished
                                                                                               12
                                                                          ASIA
Photonic Technologies for Agriculture

                      Pressure on land

                         A
                            gricultural land accounts for 36.9 percent                        A
                                                                                                   long with anthropogenic degradation, climate
                           of all land.                                                         change is putting more pressure on agricultural
                                                                                                land and leading to its deterioration.
                         U
                            rban areas occupied less than 0.5 percent of
                           the Earth’s land surface in 2000. However, urban                     S
                                                                                                   oil erosion carries away 20 to 37 billion metric
                           areas more than doubled in the period from 1992                        tons of topsoil annually, reducing crop yields and
                           to 2016 (+ 127 percent).                                               the soil’s ability to store and distribute carbon,
                                                                                                  nutrients, and water. Annual cereal production
                         T
                            he rapid growth of cities has had a significant
                                                                                                  losses due to erosion are estimated at 7.6 million
                           impact on land and water resources, encroach­ing
                                                                                                  tons.
                         on good agricultural land, especially that used
                         for horticulture.                                                       lobally, agriculture accounts for 72 percent of
                                                                                                 G
                                                                                                all surface and groundwater withdrawals, which
                         S
                            ome 33 percent of the worlds soil is moderately
                                                                                                are mainly for irrigation.
                           to highly degraded.

 Land-degradation classes for global land cover, 2015
    Land Cover          Total area      Degradation      Deterioration       Stable           Degraded      Deteriorated       Stable
                       (million ha)     (million ha)      (million ha)     (million ha)         (%)             (%)             (%)

 Cropland                      1527              479               268                  780           31               18           51

 Rainfed                       1212              340               212                  660           28               17           54

 Irrigated                      315              139                 57                 120           44               18           38

 Grassland                     1910              246               642                 1022           13               34           54

 Trees                         4335              485              1462                 2388           11               34           55

 Shrubs                        1438              218               584                 636            15               41           44

 Herbs                          203               16                 51                136             8               25           67

 Sparse                        1034               85               499                 450             8               48           44
 vegetation

 Protected area                 880               76               361                 443             9               41           50

Note: The term degradation refers to high pressures from anthropogenic drivers.
All other declines in biophysical status are defined as deterioration.

FAO. 2021. The State of the World’s Land and Water Resources for Food and Agriculture – Systems at breaking point.
Synthesis report 2021. Rome. https://doi.org/10.4060/cb7654en ingxu Huang et al 2020 Environ. Res. Lett. 15 084037, https://doi.
org/10.1088/1748-9326/ab858c

                                                                                  13
WHAT IS AT STAKE

The only way – produce
more and better per hectare
  F
     or a long time, agriculture was able to feed the world by
    cultivating more land and increasing inputs, fertilizers,                                     Total output and factor productivity growth in
                                                                                                  world agriculture
    and the use of pesticides.
                                                                                                                                  3.0
  B
     ut it began to reach its limits in the 1980s. The addition
                                                                                             TOTAL OUTPUT GROWTH (PERCENT/YEAR)

    of more and more inputs has now become less efficient                                                                         2.5

    and the resulting pollution caused by excess inputs in
    soil is giving cause for concern and becoming less                                                                            2.0

    acceptable.
                                                                                                                                  1.5
  S
     ince the 1990s, the only way to increase agriculture’s
    productivity is to improve “total factor productivity”, in                                                                    1.0
    other words, produce more and better per hectare:
                                                                                                                                  0.5
  • Improve farming practices
  • Take in account the local soil and climate
                                                                                                                                  0.0
     when choosing crop varieties                                                                                                       1961–    1971–      1981–      1991– 2001–
  • Monitor crop growth                                                                                                                 1970     1980       1990       2000 2010
  • Detect diseases and pests early                                                                                               Expansion of agricultural land
                                                                                                                                  Extension irrigation to cropland
  • Optimize the use of inputs (e.g. fertilizer and water)                                                                        More inputs per acre
  • Invest in adapted machinery                                                                                                   Improvements in total factor productivity

  • etc.                                                                                                                                                                      Source: USDA 2021

FAO. 2021. The State of the World’s Land and Water Resources for Food and Agriculture – Systems at breaking point. Synthesis report 2021.
Rome. https://doi.org/10.4060/cb7654en

                                                                              14
No evolution of farming
                                                                                                  Photonic Technologies for Agriculture

without the full participation of farmers
F
   armers are the key stakeholders for better agriculture           In other countries, especially in Asia, most farms are much
  productivity. Their participation and acceptance are                smaller (see India below). Those countries, which contain
  critical. They will not adopt new approaches unless                 the vast majority of the world‘s farmers, face the following
  they can expect an improvement in their conditions, i.e.,           huge challenges:
  better revenue, reduced effort, better resilience to climate
                                                                        • Increasing the education level of farmers
  hazards, etc.
                                                                        •P
                                                                          roviding them with accessible technologies that will
B
   ut all farmers are not the same. In high-income count-
                                                                         improve their productivity significantly
  ries, farms are becoming larger and larger as the number
  of farmers is decreasing (see Germany profile below).                 • Supporting their financial and investment capacity.

                                            Number of farms by field size
                     Germany (2013)                                                            India (2016)

                                                                                                       1%
                28%                    25%

                           47%                                                                   99%

           < 10 ha      10 – 49.9 ha     > 50 ha                                             < 10 ha     > 10 ha

                                        Average agricultural area of farms
                      Germany (2013)                                                           India (2016)

                                                                                              8%
                       2%
                                       21%

                     77%
                                                                                                  92%

           < 10 ha      10 – 49.9 ha     > 50 ha                                             < 10 ha     > 10 ha

                                                                 15
PRECISION FARMING

 Precision farming
 is an answer to the major
 challenges ahead

                    A need for new farming approaches
                    that are more productive and sustainable                      17

                    Precision farming relies mainly on four technology families   17

                    Every step of the agriculture value chain can be improved
                    by a precision farming approach                               18

                    Selected applications of precision farming                    19

                                     16
Photonic Technologies for Agriculture

A need for new                                                              Precision farming
farming approaches                                                          relies mainly on
that are more pro-                                                          four technology
ductive and                                                                 families
sustainable
A
   revolution in agriculture is ahead. New farming approa-          	The precision farming approach is valuable at every
  ches and technologies are necessary to improve produc-                step of each agriculture production value chain. Ac-
  tivity and preserve land and biodiversity. They must be:              cording to Roland Berger, the success of precision
                                                                        farming relies mainly on four technology families:
• Science-based

• Respectful of traditions, habits, social organization,
   ancestral agricultural practices, and knowledge of local            Robotics and automation technology:
   population                                                         	
                                                                       Autonomous operations are enabled by automated
                                                                       steering technology and high-precision positioning
• Compatible with farmers’ investment capacity.
                                                                       systems as well as integrated electronic communi-
P
   recision agriculture is a farming management concept              cation systems
  based on observing, measuring, and responding to inter-
  and intra-field variability in crops. The goal of precision
  agriculture is to build technical solutions with the goal of          Imagery and sensors:
  optimizing returns on inputs while preserving resources.            	Data for evaluation purposes of soil and crop
                                                                        health, etc. is collected via sensors, remote sensing
P
   recision farming is well suited to large-scale
                                                                        systems, and geo-mapping
  production, but is not limited to it. In Asia, where the ma-
  jority of farms are small, precision farming approaches
  will have to be adapted.
                                                                           	Digitization and big data analysis:
P
   recision farming is compatible with organic approaches                  Data is analyzed in order to improve climate and
as they need to understand plant growth processes, di-                       soil predictions, performance optimization of equip-
seases, and pest development from a scientific perspec-                      ment, as well as remote control in field monitoring
tive and to evaluate the efficiency of organic practices.

P
   recision farming also includes new farming concepts
                                                                           	Bioengineering:
  such as vertical or urban farming, which also rely on
                                                                             Seeds and chemicals are selected based on exter-
  scientific optimization of growing processes and on
                                                                             nal conditions and evolution of seeds to enforce re-
  disease and pest management.
                                                                             sistance to specific farm and/or climate conditions

                                                                                   nd all these families could simply not
                                                                                  A
                                                                                  exist without photonics!

                                                                 17
PRECISION FARMING

Every step of the agriculture value chain can
be improved by a precision farming approach
 Strategic control points along a typical agricultural value chain (source: Roland Berger)
                                                                                                             Distribution/
              Input supply               Production         Post-harvest               Processing
                                                                                                              marketing

 Required            Fleet               Land               Storage               Food processing       Commercialization
 machinery           distribution        preparation

 Preventive          Fleet rental        Planting           Transportation        Food packaging        Supply chain
 maintenance                                                                                            management

 Remote              Fleet               Irrigation         Food pricing          Food transportation   Food marketing
 diagnosis           management                                                                                                      End
                                                                                                                                     customers
 Required            Input supply        Fertilization      Food branding         Food traceability     Online shipping
 seed                (e.g. fertilizer)

 Seed                Soil analysis       Field monitoring   Commodity             Supply source
 transformation                                             trading               management

 Climate             Insurance           Harvesting         Insurance
 prediction          (weather)                                                       Not part of precision farming
 Data analytics      Remote sensing      Transportation     Infrastructure
 (big data)                                                 investment

 Satellite/drone     Education/          Storage
 mapping             training
                                                                                   P
                                                                                      recision farming is not just about putting
“Business opportunities in Precision Farming:
will big data feed the world in the future?”,                                        fancy sensors on a tractor.
Roland Berger Strategy Consultants GmbH, 2015
                                                                                   T
                                                                                      he precision farming approach is valuable
                                                                                     at every step of each agriculture production
                                                                                     value chain.

                                                                             18
Photonic Technologies for Agriculture

Selected applications
of precision farming
                           Collect and map                                                           Adjust chemical
     Centimeter                                    Develop new plant
                          data using sensors                                                         inputs based on
   accuracy when                                    species adapted       Adapt and choose
                         mounted on moving                                                           plant health and
     driving and                                   to climate change,       seeds/chemical
                              machines                                                              growth monitoring.
     machining                                     which require fewer   inputs based on soil
                         (moisture, nutrients,                                                      Also adjust inputs
  (GPS positioning,                                inputs or are more      property analysis.
                           compaction, crop                                                           with centimeter
 GNSS, LIDARS, etc.)                                   productive.
                              diseases)                                                                  accuracy

   Robotic weeding                                                                                        Optimize
   and pest control                                                                                   lighting, reduce
  as an alternative to                                                                                     energy
      chemicals                                                                                         consumption

   Reduce famers’                                Photonics is a key
                                                                                                      Optimize produc-
  workload through
                                                 enabler of EVERY                                    tivity of greenhou-
    robotics and
                                                                                                       ses and vertical
    autonomous                                   precision farming
                                                                                                            farming
     machining
                                                    application

    Help decision
    making with
                                                                                                    Minimize irrigation
  handheld and low-
                                                                                                     needs and water
 cost sensors, equip-
                                                                                                      consumption
    ment and/or
  smartphone apps

    Share data and
   alerts with other
                            Evaluate crop
  agriculture stake-
                           quality, sort crop                              Optimize and              Provide accurate
 holders (neigh­boring                              Monitor livestock
                         by quality standard,                             monitor livestock          and local weather
       farmers,                                       wellbeing
                          remove unwanted                                     growth                     forecasts
 cooperatives, banks,
                            particles, etc.
   inputs, and seed
    suppliers, etc.))

                                                           19
PHOTONICS

 No precision farming
 without photonics

            Photonics is the science of harnessing light to benefit humankind      21

            Photonics technologies are able to measure complex data at any scale   21

            Photonics is a key enabler of EVERY precision farming application      24

                             20
Photonic Technologies for Agriculture

Photonics is the science
of harnessing light to benefit humankind
Photonics is the science of harnessing light to benefit                  Imaging and sensors:
humankind. Behind this definition lies a wide range of                       Imaging is the recording of light, so all imaging is inhe-
applications. Light is fast, precise, and clean – three unique               rently photonic. Photonics is the only way to perform
properties that make photonics a critical technology when                    advanced analysis without contact. Most sensors for
it comes to tackling the major challenges ahead.                             disease detection, soil and water analysis, crop and fruit
                                                                             quality, etc. are based on photonics.
All four critical technology families of precision farming               D
                                                                            igitization and big data analysis:
are significantly dependent on photonic technologies and                   Fiber optics are the backbone of telecommunications
solutions:                                                                 networks. Transceivers, those components that convert
                                                                           light into electricity and vice versa, are critical to the per-
  R
     obotics and automation technology                                   formance of data centers.
  Robots need photonic sensors (cameras, lidars, etc.) to
                                                                          ioengineering:
                                                                          B
  move autonomously, explore their environment, make
                                                                         Bioengineering/Biotechnology research relies heavily on
  decisions, and perform their tasks.
                                                                         microscopy techniques. Genetics would not be possible
                                                                         without PCR analysis read by photonic technologies.
                                                                         Phenotyping is based on advanced imaging. Almost all
                                                                         instruments used in science are based on photonics.

Photonics technologies are able
to measure complex data at any scale
Photonics technologies are able to measure complex data at any scale, from the atom to the entire planet.
They are a unique asset that help us understand and overcome the environmental challenges agriculture is facing.

Observation radius

     PLANET              TERRITORY                FIELD                POINT-OF-USE            LABORATORY              ON CHIP OR AT LAB
    1,000 km             1–100 km             1–1,000 m                   1–100 m              0.1–100 cm               103–100

    Atmosphere              Mapping             Agriculture               Agriculture          Chemical analysis        Surface analysis
        Wind                 Floods              Livestock                  Forestry           Soil, water analysis        Microscopy
        Ocean               Wildfires        Thermal efficiency                Soil                  Pollution         Advanced biological
      Biosphere             Pollution            Forestry                 River water            In vitro/in vivo             analysis
    Meteorology           Earthquakes             Wildlife               Potable water             diagnostics         In vitro diagnostics
   Desertification         Agriculture            Erosion              Waste management       Fungi, bacteria, virus
   Solar irradiation      Urbanization            Subsoil              Thermal efficiency             Pollen
   Climate change       Erosion/seashore           Rivers                  Air quality

                                                                  21
PHOTONICS

Photonics technologies are
able to measure complex data at any scale
T
   oday, agricultural innovation is very demanding because              W
                                                                             eather alerts, climate change, and desertification
  it is no longer possible to focus on the basic parameters                 processes are phenomena that must be monitored and
  used in the past, such as water, nitrates, and phosphates                 studied on even wider scale.
  in soil, and local weather. All ecosystems must be taken
                                                                          P
                                                                             hotonics technologies are able to measure complex
  into account.
                                                                            data at any scale, from the atom to the entire planet.
E
   rosion, local wind, insolation of fields, water availability,          They are a unique asset that help us understand and
  and local biodiversity need to be understood and                          overcome the environmental challenges humankind is
  preserved.                                                                facing. At a global or local level, satellite and aerial ima-
                                                                            ging will be the only way to perform precise
T
   he soil, which is made up of minerals, vegetal matter,
                                                                            measurements over large areas.
  animals, fungi, and bacteria, is a complex ecosystem
  by itself and also depends on its coverage (e.g., grass                 A
                                                                             t field level, drone imaging, tractor-embedded photonic
  between fruit trees or vine stocks), the subsoil underne-                 sensors, and miniaturized point-of-use instruments are
  ath, wind and water erosion, as well as a wide variety of                 becoming available and are being used increasingly by
  natural inputs that sometimes come from very far away.                    pioneers of precision agriculture.
  Sand particles from the Sahara Desert travel all over the
                                                                          L
                                                                             ast but not least, laboratory research is still a major
  Mediterranean and regularly reach Paris. Even the soil of
                                                                            tool for developing new approaches for agriculture. And
  your garden is an interconnected ecosystem.
                                                                            almost every instrument used for research on biology,
As
 a consequence, other crops grown in fields are equally                 zoology, botanical science, agronomy, etc. are
critical. If a pest or disease appears in one field, it will                photonics-based, such as advanced microscopes and
probably spread to other fields where the same crop is                      imaging cameras, spectrometers, or all fluorescence-
grown. Then the entire area must be monitored, not just                     based instruments.
the field in question.

                                                                     22
Photonic Technologies for Agriculture

Photonic technologies and solutions: Photonics is a key enabler of EVERY precision farming application

                                                                            Adapt and choose
                                                       Develop new            seeds/chemical           Adjust chemical in-
                            Collect and map
        Advanced                                         varieties         inputs based on soil        puts with centime-
                                  data
        positioning                                                          property analysis.           ter accuracy
                                                         Microscopes,           Microscopes,
                           Imaging systems,
     Cameras, LIDARS,                                   spectrometers,         spectrometers,          Cameras, imaging
                           cameras, spectro-
       3D sensors …                                   fluorescence de-        refractometers,          systems, LIDARS,
                            meters, spectral
                                                     tection, laboratory        fluorescence             spectrometers,
                               sensors
                                                       instrumentation            detection,            spectral sensors
                                                                              instrumentation

                                                                                                             Optimize
                                                                                                         lighting, reduce
      Robotic weeding                                                                                         energy
      and pest control                                                                                     consumption

     Cameras, LIDARS,                                                                                       Advanced
     spectrometers, 3D                                                                                       lighting,
        sensors …                                                                                            spectral
                                                                                                             sensors

                                                                                                         Optimize produc-
                                                                                                        tivity of greenhou-
       Robotics and                               Photonics is a key                                      ses and vertical
       autonomous
                                                                                                               farming
        machining                                 enabler of EVERY
                                                                                                        Advanced light-
     Cameras, LIDARS,
     spectrometers, 3D
                                                  precision farming                                       ing, imaging,
                                                                                                         cameras, spec-
        sensors …
                                                     application                                       troscopy, spectral
                                                                                                             sensing

                                                                                                       Minimize irrigation
     Handheld and low-
                                                                                                        needs and water
      cost equipment
                                                                                                         consumption
      Refractometers,
                                                                                                        Imaging systems,
       spectrometers,
                                                                                                          cameras, UV
     spectral sensing …
                                                                                                            lighting

                              Evaluate crop
      Share data and         quality, sort crop                            Optimize and moni-
                                                                                                        Provide accurate
     alerts with other     by quality standard,      Monitor livestock     tor livestock growth
                                                                                                        and local weather
     agriculture stake-     remove unwanted            wellbeing
                                                                                                            forecasts
          holders             particles, etc.                               Imaging systems,
                                                     Imaging systems,         spectrometers,
                                                                                                        Satellite imaging,
     Fiber optics (tele-   Imaging systems,            spectrometers,        spectral sensors
                                                                                                             LIDARS
     com), transceivers      spectrometers,           spectral sensors
      (data centers) …      spectral sensors

                                                             23
PHOTONICS

            Photonics is a key enabler of
            EVERY precision farming application
            T
             he extreme versatility of photonic     U
                                                         V sanitizing equipment cleans
            technologies and their efficiency           water obtained from greenhouses
            at any scale make them a critical           and recycles it for further
            enabler of every precision farming          watering.
            application.
                                                       O
                                                         ther UV-based equipment sanitizes
            In many of the precision activities      activated sludge and transforms it
             described on the previous page,            into fertilizer unless the sludge is
             photonic technologies will measure         use to produce biogas in processes
             and/or monitor the weather, plant          monitored by photonic sensors.
             growth, soil quality, the need for
                                                       R
                                                         ecently, it was also demonstrated
             water or fertilizer, the appearance
                                                        that UV flashes of certain crops,
             of a crop disease or pest, the well-
                                                        when applied at the right time,
             being of animals, etc. However
                                                        stimulate plant immunity and
             photonics can do much more.
                                                        decrease significantly the need for
            B
             efore the science of harne­ss­ing       pest control chemicals.
            light was known as photonics,
                                                       A
                                                         nother contribution of precision
            greenhouses had been using solar
                                                        farming is less visible. Precision
            light for a long time to collect heat
                                                        farming generates high volumes of
            and grow plants where and when it
                                                        digital data which have to be
            was too cold to do so in fields.
                                                        transferred and shared through
            N
             ow, advanced lighting systems           fiber-optic telecommunication
            accelerate growth in greenhouses            networks, before being processed
            or vertical farming facilities even         by computers and data centers. The
            further thanks to optimized insula-         photon and the electron are the twin
            tion of plants.                             particles of the digital world, and the
                                                        challenge of precision farming is to
            3
             D and LIDAR sensors, along with
                                                        digitalize agriculture to make it more
            cameras, enable self-driving ma-
                                                        efficient and sustainable.
            chines that interact with the crop
            with centimeter precision.

                                                  24
Photonic Technologies for Agriculture

Photonics is a critical
enabler of precision farming

The following tables set out the photonic techniques which are regarded as critical enablers for more efficient and sus-
tainable agriculture. But before being widely adopted in agriculture, photonics faces four major challenges that must be
addressed with a realistic and humble approach:

1. A meeting of two worlds.                                           3. Easy to use is the key.
     The photonics community shows great creativity
                                                                         The third challenge is to develop advanced equipment
     when developing solutions, but photonics engineers
                                                                         that comprises high-tech components, but is easy to
     are not farmers, and farmers and agronomists are not
                                                                         use by end-users with no physics background.
     physicists. This means that in-depth consultation and
                                                                         This is a huge challenge since dealing with living
     a degree of translation are needed to understand the
                                                                         matter means dealing with complexity. However, it is
     complexity of growing crops or livestock and translate
                                                                         the responsibility of technology providers to tackle the
     this knowledge into appropriate photonics parameters.
                                                                         difficulties.

2. Crops and livestock are incredibly diverse.
                                                                      4. Many farmers have a limited investment capacity.
     There are more than 10,000 varieties of apples, over
                                                                         It has been seen previously that there are huge farms
     8,000 varieties of tomatoes, and more than 800 far-
                                                                         which can afford to invest in innovative tools, but also
     med races of cows! Each variety of crop or animal race
                                                                         a large number of small farms with much less reve-
     has its specific shape, size, colour, physiology, disea-
                                                                         nue. Bigger farms are and will be the early adopters,
     se, and pest. Each variety of crop or animal race has
                                                                         not only because of their investment capacity but also
     adapted to a specific climate and land. Each of them
                                                                         because they usually have a better technical back-
     will produce or be suitable for a specific food. In other
                                                                         ground. But in long term, all farms, even the small
     words, the challenge is not only to develop photonic
                                                                         ones, should have access to more advanced techno-
     sensors or equipment, but also to make these
                                                                         logies that will provide them with better revenue while
     photonic sensors or equipment sufficiently versatile
                                                                         respecting their traditions. Feeding the global popula-
     to be useful and efficient whatever the varieties used
                                                                         tion and addressing the sustainability challenges are
     and by adjusting the operating parameters by soft-
                                                                         at stake.
     ware. This way, the same hardware can be used on a
     sufficiently large scale and be produced at an accepta-
     ble cost.

It will take time for these two worlds to come together. But there is no doubt that a bright future lies ahead as more and
more photonics companies and start-ups enter the agriculture market. In addition to the interaction of these players with
agriculture experts, artificial intelligence and deep learning will bring new ways to significantly accelerate the translation of
agricultural requirements into physical parameters to be handled by photonics sensors and instruments.

                                                                 25
PHOTONICS

Photonics is a critical enabler of precision farming
The table set out the photonics technologies available for enabling precision farming, but also throughout the value chain,
from farm to fork.

Markets                Functions                            Technologies

  Agriculture &           V
                              arietal innovation,           3
                                                                  D laser scan, active and passive hyperspectral active
  agro-equipment          adaptation of plants to             and passive imaging, terahertz imaging and spectroscopy
                          climates and soils (phe-            (hydration sensing), thermal imaging (evapotranspiration),
                          notyping), plant protec-            NIR-MIR and Raman spectroscopy, high-resolution
                          tion, biocontrol                    machine vision
                          S
                             ystems and manage-             C
                                                                  MOS and CCD cameras, NIR and UV handheld spec-
                          ment of field crops and             troscopy, multispectral and hyperspectral cameras, UV
                          vines, including agricultu-         lighting, biosensors
                          ral machinery / robotics            V
                                                                  IS-NIR-SWIR-MIR imaging, SWIR sensors, high resolu-
                          R
                             emote sensing and spa-         tion satellite imaging, anemometer
                          tial information systems            U
                                                                 VC flashing for chemical reduction

  Agriculture in          G
                             reenhouses, Vertical           L
                                                                  ED lighting (UV-B and Vis), fiber-optic solar lighting,
  green houses            farm, Urban farms                   fiber-optic sensing, various spectroscopic devices, holo-
  and off-field           A
                             t home greenhouse              graphic and interferometric measurement (fish farms)

  Breeding and            Feed, additives, nutrition     S
                                                                  pectroscopy (handheld, on-line)
  aquaculture             Precision breeding             C
                                                               MOS cameras, high-speed cameras (biomechanics,
                                                              Vision, Stereovision)
                          Diagnostic, veterinary
                                                              Biosensors (SPR, PIC)
                               drugs
                                                              3D imaging, UV lighting, spectroscopy
                          Slaughterhouse
                                                              H
                                                               olographic and other interferometric devices
                          Fish farms

  Food industry           A
                           t-line & On-line control       Infrared spectroscopy (SWIR & MWIR), hyperspectral tera-
                          R
                           apid microbiology met-             hertz and Raman imaging, Cytometry, PIC, laser scanning,
                          hods (detection, identifi-           plenoptic imaging, Refractometers
                          cation, characterization of          ytometry, plasmonic devices, spectroscopy (Raman, SPR),
                                                              C
                          particles below 10µm)               non-conventional imaging (holographic, speckle), PIC
                          D
                           etection of foreign bodies        Machine vision, X-rays, terahertz imaging

  Retail                   resentation of food pro-
                          P                                   LED lighting, RGB imaging, hyperspectral and SWIR imaging
                          ducts at the point of sale          Embedded micro spectroscopy
                          (freshness, ripeness)

                                                               26
Photonic Technologies for Agriculture

Market figures
and forecast

         Market analysis and forecast                                28

         Market expectations                                         30

         Market outlook                                              31

                          27
MARKET FIGURES

Market analysis and forecast

 T
  he largest market for agricultural photonics is the illumi-          R
                                                                         efractometers are also a significant and established
 nation of greenhouses and new types of agriculture such                market mainly dedicated to wine making and alcoholic
 as vertical or urban farming. With the advent of LEDs,                 beverage production for the control and prediction of
 lighting a greenhouse is not only more energy efficient                alcohol through the measurement of sugar in the grape.
 and saves a lot of CO2 emissions, it is now also possible
                                                                        O
                                                                         ther opportunities for photonics in agriculture are ima-
 to adjust the wavelength of the lighting to provide exactly
                                                                        ging systems, which are fixed or embedded in drones or
 the light that the plants need and promote their growth.
                                                                        robots and can monitor the growth of crops, the well-
  U
   V disinfection is the second largest market. Disinfected            being of animals, as well as detect diseases.
  water is needed in agriculture, breeding, dairy production,
                                                                        A
                                                                         more traditional but still crucial market is all the inst-
  nurseries, soil-less production, hydroponics/aeroponics,
                                                                        rumentation used for monitoring, disease diagnostics,
  disinfection of drain backwaters, and reprocessing of
                                                                        quality assessment and control, as well as sanitary tests.
  nutrient solutions, or simply for irrigation. But UV can do
                                                                        Equipment that was previously used only in laboratories
  even more: recent studies have shown that irradiating
                                                                        is becoming more and more miniaturized and can be
  crops with UV-C boosts plant immunity and significantly
                                                                        now handheld or fitted onto tractors and machines in
  reduces the need for chemicals to control pests and
                                                                        order to bring precision farming to the field.
  diseases. This is still a very young but promising market.

Global market forecast (EUR million)

Family             Technology              2022       2023            2024     2025       2026       2027       CAGR       CAGR
                                                                                                                (2022-     (2026-
                                                                                                                2025)      2027)

UV                 UV disinfection        1,158.9    1,321.2      1,506.2     1,717.0    1,957.4    2,231.5        14%        14%
processing
                   UV on-field/in-line       11.7        12.6          13.6       14.7       16.9       19.4        8%        15%
Imaging            hyperspectral +           18.2        24.0          31.7       41.9       55.3       72.9       32%        32%
                   multispectral
                   Drone imaging,            39.3        47.9          58.5       71.4       87.0     106.2        22%        22%
                   on-field and
                   in-line imaging
                   (RGB cameras)
Measurement        Refractometers           111.5      117.8          124.4     131.3      138.7      146.4         6%         6%
&
                   Analytical               233.3      251.9          272.1     293.9      317.4      342.8         8%         8%
spectroscopy
                   Handheld and              47.2        56.1          66.8       79.5       94.6     112.6        19%        19%
                   on-field systems
                   (spectroscopy)
                   Other                     52.9        60.8          70.0       80.5       92.5     106.4        15%        15%
Illumination       Horticulture           2,950.0    3,392.5      3,901.4     4,486.6    5,159.6    5,933.5        15%        15%
                   and greenhouse
                   illumination
Total                                     4,623.0 5,284.9 6,044.6 6,916.7 7,919.4 9,071.7                          14%        15%

                                                                 28
Photonic Technologies for Agriculture

Global market forecast

EUR million
 10,000                                          9,071
                                                      TOTAL
                                                 5,933
                                                      Horticulture and greenhouse illumination

                                                 2,231
                                                      UV disinfection

  1,000

                                                 342
                                                       Analytical

                                                 146
                                                       Refractometers
                                                 112
                                                       Handheld and on-field system (spectroscopy)
    100                                                Drone imaging, on-field and in-line imaging
                                                 106 (RGB cameras)
                                                     hyperspectral + multispectral
                                                 72

                                                  19
                                                       UV on-field/in-line

     10
              2022   2023   2024   2025   2026   2027

                                                            29
MARKET FIGURES

Market expectations                                                        Challenges of farms

Lighting and disinfection markets: improve the ROI.                         etect risks at an early stage: Weather, water,
                                                                           D
In the biggest and more established lighting and UV                        diseases, pests… Monitoring the evolution of the
disinfection markets, expectations are associated with                     risk when it has occurred, recommending
efficiency, energy saving, reliability and maintainability                 remedial actions, etc.
for a better return on investment.
                                                                            ave time and increase productivity. Automating
                                                                           S
    In the lighting segment, adjusting the illumination                   repetitive and time-consuming tasks and reducing
    spectra as well as the illumination cycles and personal-               effort.
    izing them to each specific crop are expected to boost
                                                                           
                                                                           Bring  flexibility. Many farmers grow several crops
    growth while saving energy. LED lighting enables this
                                                                           in order to diversify their revenue and maintain the
    fine-tuning, but engineers need recommendations from
                                                                           soil quality of their land. They may also change
    agronomists in order to know what is best for each
                                                                           the crop species or variety to adapt to the climate
    plant throughout its growing cycle.
                                                                           or the market demand. Photonic tools are a
                                                                           profitable investment, but also a significant
                                                                           one. This is why these tools have to be versatile
Analytical and emerging markets: save time, reduce
                                                                           enough. This means using the same hardware
uncertainty and make life simpler. Farming is a very
                                                                           platform as much as possible and adapting it
complex activity. You have to cope with the complexity of
                                                                           through software.
living material and ecosystems: crops or the animals being
bred, soil, weather, water, diseases and pests. Success in                  ptimize the use of inputs. Save money, protect
                                                                           O
farming depends on care and know-how. But today, above                     the environment, and be more sustainable.
and beyond these ancestral difficulties, farmers have to
                                                                           
                                                                           Facilitate  traceability. Guarantee safety and quali-
deal with many more constraints and risks: traceability,
                                                                           ty for all stakeholders, reduce administrative work.
safety, regulations, administrative and paper work, finan-
ce, markets price volatility, availability and price of inputs,            
                                                                           Estimate  the quality grade of the crop. Give an
pressure on prices by the agrofood and retail sector, and                  early estimate of the selling price, anticipate the
now demands and requirements regarding the environment                     revenue, detect fraud and unfair competition.
and climate. Any innovation entering the agriculture market                 uild standardized solutions, especially
                                                                           B
should propose a solution that will address some of these                  regarding farming data. Farmers use their
problems.                                                                  farming data for many purposes: farming
                                                                           optimization, sanitary control, negotiations with
                                                                           their clients, administrative declarations, insurance
                                                                           and bank loan negotiations… They need to control
                                                                           their data and be free to choose their tools.

                                                                       .

                                                                  30
Photonic Technologies for Agriculture

Outlook
H
 owever, the use of AI and deep learning might accelera-            F
                                                                      or the coming years, bigger farms are and will be the
te the growth of the market:                                         early adopters, not only because of their investment
                                                                     capacity but also because they usually have a better
•D
  eep learning is very suitable for dealing with complex
                                                                     technical background. However, in the long term, all
 problems such as growing crops, where you have to
                                                                     farms, even the smallest ones, should have access to
 take so many parameters into account (water, weather,
                                                                     more advanced technologies that will provide them with
 soil, inputs, diseases and pests, etc.) and do not have all
                                                                     better revenue while respecting their traditions. And
 the equations for simulating all the ecosystem interac-
                                                                     it is probable that the way to spread their use will be
 tions.
                                                                     to develop simple but efficient portable tools, such as
•R
  ather than requiring a full scientific understanding of           refractometers in wine making, or to create professional
 the optimum growth parameters of a crop, the training               mobile applications that will exploit very low-cost integra-
 for deep learning approaches is quicker and requires                ted sensors (spectral sensors, cameras…) embedded in
 less effort. It will then be easier and less costly to adapt        consumer devices such as smartphones.
 a system to a specific crop, animal race, or just a local
 context.

A
 s a consequence, the combination of versatile hardware
and AI-based software might be a good strategy to deve-
lop photonics-based products that could be less costly
to manufacture, thanks to bigger scales, and less costly
to personalize to each specific need, thanks to a deep
learning approach.

                                                                31
LANDSCAPE

Landscape

            Global inventory of companies               33

                Company list                            34

                Refractometer manufacturers             38

            Brief description of the German landscape   39

            Some representative examples

                            32
Photonic Technologies for Agriculture

Global inventory of companies

The following tables show a list of photonics com-       Component manufacturers:
panies that claim to be active in the agriculture        Many photonics-based systems used in agriculture
markets. Most of the companies listed are deve-          embed generic photonics components such as
loping hardware, either photonics components or          cameras, hyperspectral cameras, sensors, LIDARs,
photonics-based solutions or systems.                    spectrometers, etc. that can be used for other
                                                         applications. But this inventory is based on corpo-
Some only provide software dedicated to the              rate internet communication. Only components
processing of data obtained through photonics.           manufacturers which clearly claim their activity in
The list is focused on photonics technologies.           the agriculture market are listed even it is mostly
Companies providing general software for farm            probable that some others sell components to
management are not listed, or if they are listed it is   agriculture systems integrators.
because they also develop photonics technologies
(such as sensors).

Refractometer manufacturers are provided in a
separate list. Only handheld and portable digital
refractometers are shown.

                                                              33
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