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Agricultural Robots and Drones 2018-2038

This report is focused on agricultural robots and drones. It analyses how robotic market and technology developments will change the business of agriculture, enabling ultra-precision and/or autonomous farming and helping address key global challenges. It develops a detailed roadmap of how robotic technology will enter into different aspects of agriculture, how it will change the way farming is done and transform it's value chain, how it becomes the future of agrochemicals business and how it will modify the way we design agricultural machinery.

 

In particular, this report provides:

 

Market forecasts:

 

In our report we provide granular twenty-year (2018-2038) market forecasts for 16 market categories. We built a twenty-year model because our technology roadmap suggests that these changes will take place over long timescales. Our market forecasts are often segmented by territory. All our assumptions and data points are clearly explained.

 

More specifically, we cover the following 16 categories: static milking robots, mobile dairy farm robotics, autonomous agricultural small robots (data scouts, weeding and multi-platform), autonomous tractors (simple guidance, autosteer, fully unmanned autonomy), robotic implements (simple and highly intelligent), robotic strawberry harvesting, robotic fresh fruit picking, and agricultural drones (data scouts, data services/analytics, multi-functional drones, unmanned spraying helicopters).

 

Technology assessment:

 

We provide a detailed technology assessment covering all the key robotic/drone projects, prototypes and commercial products relevant to the agricultural sector. Furthermore, we offer an overview and assessment of key technological components such as vision sensors, LIDARs, novel end-effectors, and hyper/multi-spectral sensors. Our technology roadmaps also outline how different equipment is increasingly becoming vision-enabled, intelligent and unmanned/autonomous. This report also analyses the key enabling hardware and software technologies underpinning new robotics. For the hardware part, we consider long-term price and performance trends in transistors, memory, energy storage, electric motors, GPS, cameras, and MEMS technology. For the software side, we consider the latest achievements in deep learning applications in various fields.

 

Application assessment:

 

A detailed application assessment covering dairy farms, fresh fruit harvesting, organic farming, crop protection, data mapping, seeding, nurseries, and so on. For each application/sector, a detailed overview of the existing industry is given, the needs for and the challenges facing the robotic technology are analysed, the addressable market size is estimated by territory, and granular ten-year market projections are given. Company profiles: More than 20 interview-based full company profiles with detailed SWOT analysis, 45 company profiles without SWOT analysis, and the works of more than 80 companies/research groups listed and summarized.

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1.EXECUTIVE SUMMARY

1.1.What is this report about?

1.2.Growing population and growing demand for food

1.3.Major crop yields are plateauing

1.4.Employment in agriculture

1.5.Global evolution of employment in agriculture

1.6.Aging farmer population

1.7.Trends in minimum wages globally

1.8.Towards ultra precision agriculture via the variable rate technology route

1.9.Ultra Precision farming will cause upheaval in the farming value chain

1.10.Agricultural robotics and ultra precision agriculture will cause upheaval in agriculture's value chain

1.11.Agriculture is one the last major industries to digitize: a look a investment in data analytics/management firms in agricultural and dairy farming

1.12.The battle of business models between RaaS and equipment sales

1.13.Transition towards to swarms of small, slow, cheap and unmanned robots

1.14.Market and technology readiness by agricultural activity

1.15.Technology progression towards driverless autonomous large-sized tractors

1.16.Technology progression towards autonomous, ultra precision de-weeding

1.17.Technology and progress roadmap for robotic fresh fruit harvesting

1.18.20-year market forecasts (2018 to 2038) for agricultural robots and drones segmented by 16 technologies

1.19.Summary of market forecasts

1.20.Tractors evolving towards full autonomy: 2018-2038 market forecasts in unit numbers segmented by level of navigational autonomy

1.21.Tractors evolving towards full autonomy: 2018-2038 market forecasts in market value segmented by level of navigational autonomy

1.22.Tractors evolving towards full autonomy: 2018-2038 market forecasts segmented by level of navigational autonomy (value of automation only)

1.23.The rise of fleets of small autonomous robots: 2018-2038 market forecasts in unit numbers segmented by level of robot functionality

1.24.The rise of fleets of small autonomous robots: 2018-2038 market forecasts in market value segmented by level of robot functionality

1.25.Robotic tractor-pulled implements become increasingly intelligent and multi-functional: 2018-2038 market forecasts

1.26.Robotic fresh fruit harvesting will overcome challenges but only in the long run: 2018-2038 market forecasts for robotic fresh fruit harvesting

1.27.Agricultural drones become multi-purpose and data services capture more value: 2018-2038 market forecasts

1.28.Robotic milking are already a major market: 2018-2038 market forecasts

1.29.Mobile robots and drones dominate the agricultural robotic market: 2018-2038 market forecasts segmented by mobility vs stationary robots

 

 

2.AUTONOMOUS MOBILITY FOR LARGE TRACTORS

2.1.Number of tractors sold globally

2.2.Value of crop production and average farm sizes per region

2.3.Revenues of top agricultural equipment companies

2.4.Overview of top agricultural equipment companies

2.5.Tractor Guidance and Autosteer Technology for Large Tractors

2.6.Auto steer for large tractors

2.7.Ten-year forecasts for autosteer tractors

2.8.Master-slave or follow-me large autonomous tractors

2.9.Fully autonomous driverless large tractors

2.10.Fully autonomous unmanned tractors

2.11.Technology progression towards driverless autonomous large-sized tractors

2.12.Handsfree Hectar: fully autonomous human-free barley farming

2.13.Tractors evolving towards full autonomy: 2018-2038 market forecasts in unit numbers segmented by level of navigational autonomy

2.14.Tractors evolving towards full autonomy: 2018-2038 market forecasts in market value segmented by level of navigational autonomy

2.15.Tractors evolving towards full autonomy: 2018-2038 market forecasts segmented by level of navigational autonomy (value of automation only)

 

3.AUTONOMOUS ROBOTIC AGRICULTURAL PLATFORMS

3.1.Autonomous small-sized agricultural robots

3.2.FENDT (AGCO) launches swarms of autonomous agrobots

3.3.Autonomous agricultural robotic platforms

 

4.AUTONOMOUS ROBOTIC WEED KILLING

4.1.From manned, broadcast towards autonomous, ultra precision de-weeding

4.2.Crop protection chemical sales per top suppliers globally

4.3.Sales of top global and Chinese herbicide suppliers

4.4.Global herbicide consumption data

4.5.Glyphosate consumption and market globally

4.6.Regulations will impact the market for robotic weed killers?

4.7.Penetration of herbicides in different field crops

4.8.Growing challenge of herbicide-resistant weeds

4.9.Autonomous weed killing robots

4.10.Autonomous robotic weed killers

4.11.Organic farming

4.12.Robotic mechanical weeding for organic farming

4.13.Technology progression towards autonomous, ultra precision de-weeding

4.14.The rise of fleets of small autonomous robots: 2018-2038 market forecasts in unit numbers segmented by level of robot functionality

4.15.The rise of fleets of small autonomous robots: 2018-2038 market forecasts in market value segmented by level of robot functionality

 

5.ROBOTIC IMPLEMENTS: WEEDING, VEGETABLE THINNING, AND HARVESTING

5.1.Autonomous lettuce thinning robots

5.2.Why asparagus harvesting should be automated

5.3.Automatic asparagus harvesting

5.4.Robotic/Automatic asparagus harvesting

5.5.Addressable market size for robotic lettuce thinning and weeding service provision

5.6.Robotic tractor-pulled implements become increasingly intelligent and multi-functional: 2018-2038 market forecasts

 

6.ROBOTIC FRESH FRUIT PICKING

6.1.Field crop and non-fresh fruit harvesting is largely mechanized

6.2.Fresh fruit picking remains largely manual

6.3.Machining aiding humans in fresh fruit harvesting have not evolved in the past 50 years

6.4.Emerging robotic fresh fruit harvest assist technologies

6.5.Robot orchard data scouts and yield estimators

6.7.Robotic fresh apple harvesting

6.8.Fresh fruit harvesting robots

6.9.Technology and progress roadmap for robotic fresh fruit harvesting

6.10.Addressable market size for robotic fresh apple-picking service provision

6.11.Robotic fresh fruit harvesting will overcome challenges but only in the long run: 2018:2038 market forecasts for robotic fresh fruit harvesting

6.12.Robotic fresh strawberry harvesting

6.13.Evolution of fresh strawberry harvesting robots

6.14.Fully autonomous strawberry picking robots with soft grippers

6.15.Addressable market size for robotic fresh strawberry-picking service provision

6.16.Ten-year market forecasts for robotic fresh strawberry harvesting by territory

 

7.VINE PRUNING ROBOTS

7.1.Autonomous robotic vineyard scouts and pruners

 

8.GREENHOUSES AND NURSERIES

8.1.Autonomous robotics for greenhouses and nurseries

 

9.ROBOTIC SEEDERS

9.1.Variable rate technology for precision seed planting

9.2.Robotic seed planting

 

10.ROBOTIC DAIRY FARMING

10.1.Global trends and averages for dairy farm sizes

10.2.Global number and distribution of dairy cows by territory

10.3.Robotic milking parlours

10.4.Overview of robotic milking parlours

10.5.Autonomous robotic feed pushers

10.6.Alternatives to autonomous robotic feed pushers

10.7.Autonomous robotic shepherds

10.8.Autonomous manure cleaning robots

10.9.Ten-year market forecasts for robotic milking systems by country

10.10.Robotic milking are already a major market: 2018-2038 market forecasts

 

11.AERIAL DATA COLLECTION AND DRONES

11.1.Drones: dominant designs begin to emerge

11.2.Drones: moving past the hype?

11.3.Drones: company formation slows down

11.4.Drones: global geographical spread of companies

11.5.Drones: platforms commoditize?

11.6.Drones: market forecasts

11.7.Drones: application pipeline

11.8.Satellite vs plane vs drone mapping and scouting

11.9.Benefits of using aerial imaging in farming

11.10.Unmanned drones in rice field pest control in Japan

11.11.Unmanned drones and helicopters for field spraying

11.12.Unmanned agriculture drones on the market

11.13.Comparing different agricultural drones on the market

11.14.Regulation barriers coming down?

11.15.Agricultural drones: the emerging value chain

11.16.Core company information on key agricultural drone companies

11.17.Software opportunities: Vertical focused actionable analytics

11.18.Drones: increasing autonomy

11.19.Ten-year market forecasts for agricultural drones

 

12.ENABLING TECHNOLOGIES: GRIPPER TECHNOLOGY

12.1.Suction-based end effector technologies for fresh fruit harvesting

12.2.Simple and effective robotic end effectors for fruit harvesting

12.3.Soft robotics based end effector technologies for fresh fruit handling

12.4.Pneumatic soft actuator: extensible layer + fiber

12.5.Soft actuator: self-contained McKibbern-type muscle

12.6.Shape Deposition Manufacturing (SDM) Compliant Joint

12.7.Fabrication processes for soft robotic actuators

12.8.Robotic end effector technologies for fresh fruit harvesting

12.9.Dexterous robotic hands for agricultural robotics

12.10.Examples of dexterous robotic hands

 

13.ENABLING TECHNOLOGIES: NAVIGATIONAL TECHNOLOGIES (RTK, LIDAR, LASERS AND OTHERS)

13.1.RTK systems: operation, performance and value chain

13.2.Lidar- basic operation principles

13.3.Review of LIDARs on the market or in development

13.4.Performance comparison of different LIDARs on the market or in development

13.5.Assessing suitability of different LIDAR for agricultural robotic applications

13.6.Hyperspectral image sensors

13.7.Hyperspectral imaging and precision agriculture

13.8.Hyperspectral imaging in other applications

13.9.Hyperspectral imaging sensors on the market

13.10.Common multi-spectral sensors used with agricultural drones

13.11.GeoVantage

13.12.Why is new robotics becoming possible now? A hardware point of view

13.13.Why is new robotics possible now?

13.14.Transistors (computing): price evolution

13.15.Transistors (computing): performance evolution

13.16.Memory (RAM, hard driver and flash): price evolution in $/Mbit

13.17.Memory: performance evolution in Gbit/ sq inch

13.18.Sensors (Camera): price evolution

13.19.Sensors (MEMS): price evolution

13.20.Sensors (GPS): price and market adoption (in unit numbers) evolution of GPS sensors

13.21.Is Lidar on a similar path as other robotic sensor technologies?

13.22.Li ion battery: performance evolution in Wh/Kg and Wh/L

13.23.Energy storage technologies: price evolution in $/kWh by sector

13.24.Electric motors: evolution of size of a given output since 1910

13.25.Artificial intelligence: waves of development

13.26.Terminologies explained: AI, machine learning, artificial neural networks, deep neural networks

13.27.Rising interesting in deep learning

13.28.Algorithm training process in a single layer

13.29.Towards deep learning by deepening the neutral network

13.30.The main varieties of deep learning approaches explained

13.31.Evolution of deep learning

13.32.The rise of the big data quantified: fuel for deep learning applications

13.33.Examples of milestones in deep learning AI: word recognition suppresses human level

13.34.Deepening the neutral network to increase accuracy rate

13.35.GPUs: an enabling component for deep learning?

13.36.Examples of milestones in deep learning AI: translation approaching human level performance

13.37.Examples of milestones in deep learning AI: leap in progress in robotic grasping

13.38.What is 'good enough' accuracy in deep learning?

13.39.RoS and RoS-I: major open source movement slashing development costs and enticing OEMs to finally engage

13.40.Robotic Operating System (RoS): Examples of cutting edge projects

 

14.COMPANY INTERVIEWS AND PROFILES

14.1.Interview based company profiles

14.1.1.Agrobot

14.1.2.Blue River Technology

14.1.3.DeepField Robotics

14.1.4.F. Poulsen Engineering ApS

14.1.5.Fresh Fruit Robotics

14.1.6.Harvest CROO Robotics

14.1.7.Ibex Automation

14.1.8.miRobot

14.1.9.Naio Technologies

14.1.10.Nippon Signal

14.1.11.Parrot

14.1.12.Precision Hawk

14.1.13.Quanergy

14.1.14.Robotic Solutions

14.1.15.Shadow Solutions

14.1.16.Soft Robotics Inc

14.1.17.Stream Technologies

14.1.18.SwarmFarm Robotics

14.1.19.Tillet and Hague

14.1.20.Velodyne LIDAR

14.2.Company Profiles

14.2.1.3D Robotics

14.2.2.AGCO

14.2.3.AgEagle

14.2.4.AgJunction Inc

14.2.5.Agribotix

14.2.6.Airinov

14.2.7.Autonomous Tractor Cooperation

14.2.8.Beijing UniStrong Science and Technology (BUST)

14.2.9.Case IH

14.2.10.Dogtooth Technologies

14.2.11.Empire Robotics

14.2.12.Farmbot

14.2.13.Festo Gamaya

14.2.14.GrabIT

14.2.15.Harvest Automation

14.2.16.Headwall

14.2.17.HerdDog

14.2.18.HETO

14.2.19.HiPhen

14.2.20.Hortau

14.2.21.John Deere

14.2.22.Kinzes Autonomous Harvest System

14.2.23.Kubota Corp

14.2.24.L'Avion Jaune

14.2.25.LeddarTech

14.2.26.Lely

14.2.27.LemnaTec

14.2.28.Magnificant

14.2.29.Mavrx

14.2.30.McRobotic

14.2.31.MicaSense

14.2.32.Motorleaf

14.2.33.NavCom

14.2.34.Near Earth Autonomy

14.2.35.Novariant

14.2.36.Orbital Insight

14.2.37.Pix4D

14.2.38.Prospera

14.2.39.Qubit Systems

14.2.40.Robotics Plus

14.2.41.Robotnik

14.2.42.Scanse

14.2.43.senseFly

14.2.44.Sentra

14.2.45.SkySquirrel

14.2.46.SpelR

14.2.47.Trimble

14.2.48.UAV-IQ Precision Agriculture

14.2.49.Urban Crops

14.2.50.URSULA Agriculture

14.2.51.VineRangers

14.2.52.Yanmar

14.2.53.Yara

 

 

TABLES AND FIGURES

 

Evolution of agricultural machinery from manual hoes through to robots

Population growth between 1950 and 2050 segmented by development stage

Income growth of developed and developing countries between 2005 and 2050

Expansion in global arable land between 1961 to 2050 in million ha

Grain yield improvements by territory for wheat, maize and rice between 1950 to 2012

Share of labour force working in agriculture between 1300 to 2000 for England, Netherlands, Italy France and Poland

Output per unit of labour in agriculture between 1961 to 2001 by country

Global map of agricultural employment for 1980s, 1990s, 2000s, and 2010s

Average age of principal farm operator in the USA between 192 to 2120

Average age of different farmer groups in Australia

Correlation between minimum wage and GPD per person at PPP

Minimum wage level in $/hr by country

Real hourly wage for non-supervisory hired farm works in the US between 1990 and 2012

Technology roadmap showing progression from constant rate technology, to variable rate technology and now ultra-precision technology

Existing and emerging value chain of agriculture showing how robotic technologies shift value away from traditional players

Assessing the pros and cons of RaaS vs. equipment sale model

Evolution of agriculture machinery from heavy, fast, large to light, slow and small

Soil compaction depth as a function of year caused by increased vehicle weight

Table showing that new robots need to be 24 times cheaper than traditional tractor models

Market and technology readiness chart placing different agricultural robotic technology on levels ranging from proof-of-concept to fully maturity

Market and technology readiness chart placing different agricultural robotic companies on levels ranging from proof-of-concept to fully maturity

Technology roadmap showings technology progression from manned tractor to tractor guidance to manned autosteer to master-slave and to fully autonomous tractors

Technology roadmap showing progress from manned aerial vehicles towards fully autonomous ultra-precision weeding

Technology roadmap showings the progression of robotic technology in fresh fruit harvesting

Ten-year market forecasts segmented by 14 agricultural robotics categories

Number of tractors sold globally between 2010 and 2014 by country

Number of tractors sold in the USA and Canada by horse power level between 2006 and 2015Total value of crop production in $bn between 2009 and 2016 fir EU, USA, Brazil, CIS, China and India

Table showing the number and average size of farms in USA, EU, Brazil, CIS, China and India

Revenues in $bn of leading tractor suppliers including Yanmar, Deutz Fahr, Mihandra, AGCO, John Deere, Kubota Tractor Corp., CNN Industrial and so on5- or 10-year annual sales for Kubota, John Deere, AGCO, Mihandra, CNH Industrial, Deutz Fahr and so on

RTK GPS-enabled auto-steer technology

Number of GNSS receivers in used agriculture between 2006 and 2023 segmented by tractor guidance, automatic steering, VRT and asset management

Market value (in $m) for GNSS receivers used in agriculture between 2006 and 2023 segmented by tractor guidance, automatic steering, VRT and asset management

Unit price ($/unit) of GNSS receivers used in agriculture between 2006 and 2023 segmented by tractor guidance, automatic steering, VRT and asset management

Master-slave autonomous tractors by Yanmar, Fendt, Case IT, John Deere and Kinze Autonomy

Fully autonomous tractors by Yanmar, Kubota Corp., and Autonomous Tractor Corp.

Technology roadmap showings technology progression from manned tractor to tractor guidance to manned autosteer to master-slave and to fully autonomous tractors

Ten-year market for

Ecasts for tractor guidance, autosteer and fully autonomous tractors/combines

Agbot II by QUTKongskilde Vibro Crop Robotti by by Kongskilde Industries A/S and Conpleks Innovation.

Astrix autonomous agricultural robot by Adigo

Horibit autonomous agricultural robot by Aarhus University

Ladybird autonomous agricultural robot by Australian Centre of Field Studies

Autonomous tractors by the The Robot Fleers for Highly Effective Agriculture and Forestry Management projectATRV-2Autonomous agricultural robot KU Leuven and FMTC

Autonomous agricultural robot by Rowbot for cornfields

Ten-year market forecasts for autonomous robotic data scouts

Technology evolution from manual hoeing to large-scale broadcast spraying to unmanned drone spraying to manned weeding with high precision and finally to autonomous weeding with ultra-high precision

Crop protection revenues for top ten global agrochemical suppliers including Monsanto, Sumitomo Chemical, Agricultural Solutions Ltd, DuPont, Bayer, Syngenta, BASF, DOW, NufranCrop protection revenues for top 20 Chinese suppliers including Zheijang Wynca Chemical Industrial Group, Zhejiam Jinfanda BioChemical, Nutrichem, Sichuan Leshan Fuhua Tonga Agrochemical and so on2014 and 2015 herbicide sales for Monsanto, Sumitomo Chemical, Agricultural Solutions Ltd, DuPont, Bayer, Syngenta, BASF, DOW, Nufran

Revenue map of Top ten Chinese producers of glyphosate

Historical data on global herbicide consumption in tonnes between 2004 and 2014 segmented by country

Glyphosate global consumption in agricultural and non-agricultural activities between 1994 and 2014 in Kg

Market size for glyphosate in $bn between 2004 and 20014Historical growth in adoption of GE-HE seeds for major field crops such as soybeans, cotton, and corn

Increase in the number of herbicide-resistant weed species between 1950 and today

Total area in acres covered with herbicide-resistant weeds in the US between 1998 and 2014Geographical spread of herbicide-resistant weeds in the US by state

Autonomous robotic weeder

Development of organic land in million ha

Distribution of organic land between different uses

Robotic weeding implements for organic farming

Ten-year market forecast for robotic weeding by technology type

Autonomous asparagus harvesting robots

Autonomous lettuce thinning robots

Ten-year market forecasts for robotic lettuce thinning and vegetable harvesting by technology and territory

Non-fresh fruit harvesting machines

Machines aiding manual fresh fruit harvesting

Robotic bin follower

Robotic orchard data scouts

Emerging robotic fresh fruit harvest assist technologies

Robotic fresh apple harvesting

Robotic fresh citrus harvesting

Fresh fruit harvesting robots

Addressable market size for robotic fresh apple-picking service provision

Ten-year market forecasts for robotic fresh citrus/apple harvesting by territory

Robotic fresh strawberry harvesting

Addressable market size for robotic fresh strawberry-picking service provision

Ten-year market forecasts for robotic fresh strawberry harvesting by territory

Autonomous robotic vineyard scouts and pruners

Autonomous robotics for greenhouses and nurseries

Schematic showing the concept of VRT for seed planting

Robotic seed planting

Map of average dairy farm sizes worldwide

Average size and number of dairy farms in the US between 1970 and 2007Global number and distribution of dairy cows by country

Addressable market for robotic milking machines by country

Addressable market for robotic feed pushers by country

Lely's robotic milking machine

Robotic milking machines

Autonomous robotic feed pushers

Robotic manure cleaning

Alternatives to autonomous robotic feed pushers

Autonomous robotic shepherds

Ten-year market forecasts for robotic milking systems by country

Ten-year market forecasts for automatic feed pusher and other mobile robotics in dairy farming

Table comparing the resolution, image acquisition cost, image processing cost and minimum order size for satellite imaging

Annual sales of unmanned spraying helicopters in Japan

Area of rice paddies in Japan sprayed by unmanned helicopters between in Ha

Unmanned drones and helicopters for field spraying

Unmanned agriculture drones on the market

Table comparing different agricultural drones on the market on the basis of price, type, autonomy, cruise speed, flight time and so on

Agricultural drones: the emerging value chain

Core company information on key agricultural drone companies

Ten-year market forecasts for agricultural drones

Suction-based end effectors by Vision Robotics

Suction-based end effectors by Abundant Robotics

Other novel end-effectors in development

Soft robotic grippers by Soft Robotics, Festo, Empire Robotic, Pneubotics

Dexterous robotic by Shadow Robotics, Schunk, Allegro, Willow Garage and so on

Value chain of RTK GPS Technology from signal service provides to receiver manufacturers to device vendors to tractor companies

Performance levels of DGPS, OmniStar XP/HP and RTK technologies

Basic operational mechanism of LIDARLIDAR examples

Table comparing the performance of different LIDARs on the market or in development

Table assessing suitability of different LIDAR for agricultural robotic applications

Hyperspectral imaging and precision agriculture

Hyperspectral imaging sensors on the market

Common multi-spectral sensors used with agricultural drones

Ten-year market forecasts for all agricultural robots and drones segmented by type and/or function

Ten-year market forecasts for agricultural robots and drones segmented by type and/or function

Ten-year market forecasts for autonomous and mobile agricultural robots and drones segmented by type and/or function

Ten-year market forecasts for tractor guidance, autosteer and fully autonomous tractors/combines

Ten-year market forecasts for autonomous robotic data scouts

Ten-year market forecast for robotic weeding by technology type

Ten-year market forecasts for robotic lettuce thinning and vegetable harvesting by technology and territory

Ten-year market forecasts for robotic fresh citrus/apple harvesting by territory

Ten-year market forecasts for robotic fresh strawberry harvesting by territory

Ten-year market forecasts for robotic milking systems by country

Ten-year market forecasts for automatic feed pusher and other mobile robotics in dairy farming

Ten-year market forecasts for agricultural drones

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