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農業用機器人·無人機 2016-2026年:技術·市場·企業

Agricultural Robots and Drones 2016-2026: Technologies, Markets, and Players

出版商 IDTechEx Ltd. 商品編碼 368201
出版日期 內容資訊 英文 163 Slides
商品交期: 最快1-2個工作天內
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農業用機器人·無人機 2016-2026年:技術·市場·企業 Agricultural Robots and Drones 2016-2026: Technologies, Markets, and Players
出版日期: 2016年08月30日 內容資訊: 英文 163 Slides



第1章 摘要整理

第2章 大型曳引機的自動駕駛車

  • 全球曳引機銷售台數
  • 作物生產額·地區的平均農場規模
  • 主要的農業設備企業概要
  • 曳引機的指南及大型曳引機自動方向盤技術
  • 大型曳引機自動方向盤
  • 自動方向盤曳引機的十年預測
  • 附主從式或追隨式( follow-me)功能的大型自主曳引機
  • 完全自主式無人大型曳引機
  • 朝無人自主式大型曳引機發展的技術進步
  • 曳引機指導,自動方向盤及完全自主式曳引機/聯合收割機的十年預測

第3章 自主式機器人的農業用平台

  • 自主式小型農業用機器人
  • 自主式農業用機器人的平台
  • 自主式機器人data scouts的十年預測

第4章 利用機器人的除草

  • 從載人撒到自主式超精密除草
  • 作物保護用化學藥品的銷售額:全球主要供應商
  • 全球·中國的主要除草劑供應商的銷售額
  • 全球除草劑消費資料
  • 全球Glyphosate (除草劑) 消費及市場、其他

第5章 利用機器人的蔬菜疏伐·收穫

  • 自主式萵苣疏伐機器人
  • 龍鬚菜的收穫應該自動化的理由
  • 自動龍鬚菜收穫
  • 機器人/自動龍鬚菜收穫
  • 機器人的萵苣疏伐·除草服務對象市場規模
  • 機器人的萵苣疏伐·蔬菜收穫的十年市場預測:技術·領域別

第6章 利用機器人的新鮮水果採收

  • 農作物·非新鮮水果的收穫大部分已機械化
  • 新鮮水果的採收依然大部分為手工
  • 利用機器幫忙採收新鮮水果在這50年來並無多大進化
  • 新興的利用機器人協助採收新鮮水果技術
  • 機器人果園data scouts·產量估計、其他

第7章 葡萄修剪機器人

  • 自主式機器人葡萄酒園scouts·修剪機器

第8章 溫室·苗床

  • 溫室·苗床自主式機器人

第9章 機器人播種機

  • 精密種植的技術變動率
  • 利用機器人的種植

第10章 機器人酪農

  • 全球酪農場規模趨勢·平均
  • 全球乳牛數·分佈:領域別
  • 全球各國潛在市場
  • 機器人擠奶機概要
  • 自主式機器人feed pushers、其他

第11章 大氣中資料收集

  • 衛星 vs. 飛機 vs. 無人機的製圖·偵察
  • 農業中使用空中影像的優點
  • 日本稻田無人機的有害生物管理
  • 田園播種的無人機·直升機
  • 市場上無人農業用無人機、其他

第12章 主要啟能企業

第13章 GRIPPER技術

  • 採收新鮮水果用吸引型末端執行器技術
  • 採收新鮮水果用單純·有效的機器人末端執行器
  • 新鮮水果出貨工作的軟體Robot型末端執行器
  • 採收新鮮水果用機器人末端執行器技術
  • 農業用機器人的巧妙的機器人手
  • 巧妙的機器人手實例

第14章 導航技術 (RTK,LIDAR,LASER以及其他)

  • RTK系統:營運,效能及價值鏈
  • LIDAR:基本的營運原理
  • 市售或正在開發的LIDAR的檢討
  • 市售或正在開發的各LIDAR的效能比較
  • 農業用機器人各LIDAR的合理評估、其他

第15章 市場預測,產業形勢,企業定位及企業簡介

  • 農業用機器人·無人機的十年預測:類型及/或各技術
  • 農業用機器人·無人機的十年預測:類型及/或各功能
  • 自主式·行動農業用機器人·無人機的十年預測:類型及/或各功能
  • 曳引機指導,自動方向盤及完全自主式曳引機/聯合收割機的十年預測
  • 自主式機器人data scouts的十年預測
  • 機器人除草的十年預測:各技術類型、其他

第16章 採訪對象企業簡介

第17章 企業簡介

第18章 該報告的調查對象企業


A complex market reaching $10bn as early as 2022.

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 farming and helping address the 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 its 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: Granular ten-year segmented market forecasts for 14 categories including static milking robotics, mobile dairy farm robots, autosteer tractors, autonomous tractors, unmanned spraying drones, autonomous data mapping drones, robotic implements for de-weeding, autonomous de-weeding mobile robots, robotic fresh fruit harvesting, robotic strawberry harvesting, manned and unmanned robotic lettuce/vegetable thinning/harvesting and so on. Our market forecasts are also segmented by territory. All our assumptions and data points are clearly explained.
  • Technology assessment: Detailed technology assessment covering all the key robotic/drone projects, prototypes and commercial products relevant to the agricultural sector. Detailed overview and assessment of key technological components such as vision sensors, LIDARs, novel end-effectors, and hyper/multi-spectral sensors. Technology roadmaps outlining how different equipment are increasingly becoming vision-enabled, intelligence and unmanned/autonomous.
  • Application assessment: 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 challenging facing, 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, 40 company profiles without SWOT analysis, and the works of more than 76 companies/research groups listed and summarized.

Robotics in dairy farms will reach $8bn by 2023

Robotic and drones have already started to quietly transform many aspects of agriculture. Already, thousands of robotic milking parlours have been installed worldwide, creating a $1.9bn industry that is projected to grow to $8bn by 2023. Mobile robots are also already penetrating dairy farms, helping automate tasks such as feed pushing or manure cleaning.

Tractors become increasingly autonomous

Tractor guidance and autosteer technologies are also going mainstream thanks to improvements and cost reductions in RTK GPS technology. Indeed, more than 300k tractors equipped with autosteer or tractor guidance will be sold in 2016, rising to more than 660k units per year by 2026.

Unmanned autonomous tractors have also been technologically demonstrated with large-scale market introduction largely delayed not by technical issues but by regulation, high sensor costs and the lack of farmers' trust. This will all change by 2022 when sales of unmanned or master-slave (e.g., follow me) tractors picks up.

Drones bring in increased data analytics into farming

Agriculture will be a major market for drones, reaching $480m in 2026. Unmanned remote-controlled helicopters have already been spraying rice fields in Japan since early 1990s. Indeed, this is a maturing technology/sector with overall sales in Japan having plateaued. This market will benefit from a new injection of life as suppliers diversify into new territories and as low-cost light-weight sprayer drones enter the market.

The progress of drones is by no means limited to spraying. Their core function is to provide detailed aerial maps of farms, enabling farmers to take data-driven site-specific action. These light-weight low-cost drones are often loaded with small multi-spectral sensors, measuring key indicators about plant health, yields, water stress levels, nitrogen deficiency and so on.

This development will soon be entering into its growth years. This is because regulatory barriers for drone deployment are coming down and, more importantly, precision farming ecosystems is finally coming together meaning that farmers can act on what the data tells them. In time, the drone hardware will become commoditized and value will shift largely to data acquisition and analytics providers.

Robotics is the future of agrochemicals

Agricultural robotics is also rapidly progressing on the ground. Vision-enabled robotic implements have been in commercial use for some years in organic farming. These implements follow the crop rows, identify the weeds, and aid with mechanical hoeing. The next generation of these advanced robotic implements is also in its early phase of commercial deployment. Indeed, they are already thinning as much as 10% of California's lettuce fields.

The end game however is to turn these implements into general-purpose autonomous weeding robots. This means that swarms of these small, light-weight robots will locate weeds and take site-specific precise action to eliminate them.

This has already starting to occur with numerous companies and groups developing and deploying a variety of weeding robots. Indeed, whilst most products are in prototype or semi-commercial trail phase, the first notable sales have also taken place aimed at small multi-crop vegetable farmers.

This has far reaching long-term consequences for the farming industry, particularly affecting suppliers of crop protection chemicals. This is because it changes the way we farm as farmers will no longer need to broadcast spray chemicals uniformly across the entire field. Instead, they will move even beyond variable-rate precision towards ultra-precision agriculture where the farm is managed on an individual plant basis and where each plant is given only the exact dose of chemicals that it requires.

This is only a long term development at this stage but it will impact the total consumption of crop protection chemicals. It can convert volume commodity agrochemical business into speciality chemical operations, and can force suppliers to re-invent themselves as providers of crop protection, whatever its form, and not just chemical suppliers.

Agricultural machinery transfigured?

The advent of agricultural robots will herald a change in the way agricultural machinery is envisaged. Today, bigger is better because the productivity of the skilled driver/operator is improved. Mobile robots could change this by taking the driver out of the equation.

Indeed, emerging mobile agricultural robots are likely to be slow, unmanned, light-weight and modular. Their slowness means that more attention is given to each plant, their lightness means no soil compaction, and their small size means potentially lower cost.

The latter point is critical if such mobile robots are ever to leave the drawing board because slower and small machines are inherently less productive therefore need to be lower cost, in some cases by as much as 24 times. This cost requirement alone will prevent uptake in the medium-term.

Today, most examples of such robots are only in the prototypes or early stage commercial trial phase but the direction of development is clear. The technological challenges will soon largely been solved and the industry will enter the phase of making and proving a commercial case, whether as an equipment or a service.

Farmers' conservatism will however turn this potentially revolutionary change into an evolutionary, incremental one.

Robotics finally succeed in fresh fruit harvesting?

Despite non-fresh fruit harvesting being largely mechanized, fresh fruit picking has remained mostly out of the reach of machines or robots. Picking is currently done using manual labour with machines at most playing the part of an aid that speeds up the manual work.

Progress here has been hampered by the stringent technical requirements. The vision system needs to detect fruits inside a complex canopy whilst the robotic arms needs to rapidly, economically and gently pick the fruit. The lack of CAD models has also prevented rapid iterations in product development. The absence of universal applicability has also put off large investments as each harvester is likely to work on a narrow segment.

This is however beginning to change, albeit slowly. A limited number of fresh strawberry harvesters are already being commercially trialled. Some versions require the farm layout to be changed and the strawberry to be trained to help the vision system identify a commercially-acceptable percentage of strawberries. Others are developing a more universal solution compatible with all varieties of strawberry farms. Market adoption will start from 2020/2021 onwards.

At the same time, fresh apple robotic harvesting has also reached the level of late stage prototyping. Here, novel low-cost end-effectors are being developed together with low-cost good enough robotic arms that will work in parallel. Market adoption will start from 2022/2023 onwards.

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Table of Contents


  • 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. The battle of business models between RaaS and equipment sales
  • 1.12. Transition towards to swarms of small, slow, cheap and unmanned robots
  • 1.13. Market and technology readiness by agricultural activity
  • 1.14. Technology progression towards driverless autonomous large-sized tractors
  • 1.15. Technology progression towards autonomous, ultra precision de-weeding
  • 1.16. Technology and progress progression roadmap for robotic fresh fruit harvesting
  • 1.17. Ten-year market forecasts for all agricultural robots and drones segmented by type and/or function
  • 1.18. Ten-year market forecasts for autonomous and mobile agricultural robots and drones segmented by type and/or function


  • 2.1. Number tractors sold globally
  • 2.2. Value of crop production and average farm sizes per region
  • 2.3. Overview of top agricultural equipment companies
  • 2.4. Tractor Guidance and Autosteer Technology for Large Tractors
  • 2.5. Auto steer for large tractors
  • 2.6. Ten-year forecasts for autosteer tractors
  • 2.7. Master-slave or follow-me large autonomous tractors
  • 2.8. Fully autonomous driverless large tractors
  • 2.9. Technology progression towards driverless autonomous large-sized tractors
  • 2.10. Ten-year market forecasts for tractor guidance, autosteer and fully autonomous tractors/combines


  • 3.1. Autonomous small-sized agricultural robots
  • 3.2. Autonomous agricultural robotic platforms
  • 3.3. Ten-year market forecasts for autonomous robotic data scouts


  • 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. Ten-year market forecast for robotic weeding by technology type


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


  • 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
  • 6.6. Emerging robotic fresh fruit harvest assist technologies
  • 6.7. Robotic fresh apple harvesting
  • 6.8. Robotic fresh citrus harvesting
  • 6.9. Fresh fruit harvesting robots
  • 6.10. Technology and progress progression roadmap for robotic fresh fruit harvesting
  • 6.11. Addressable market size for robotic fresh apple-picking service provision
  • 6.12. Ten-year market forecasts for robotic fresh citrus/apple harvesting by territory
  • 6.13. Robotic fresh strawberry harvesting
  • 6.14. Addressable market size for robotic fresh strawberry-picking service provision
  • 6.15. Ten-year market forecasts for robotic fresh strawberry harvesting by territory


  • 7.1. Autonomous robotic vineyard scouts and pruners
  • 7.2. Autonomous robotic vineyard scouts and pruners


  • 8.1. Autonomous robotics for greenhouses and nurseries


  • 9.1. Variable rate technology for precision seed planting
  • 9.2. Robotic seed planting


  • 10.1. Global trends and averages for diary farm sizes
  • 10.2. Global number and distribution of dairy cows by territory
  • 10.3. Global country-specific addressable markets for robotic milking machines and feed pushers
  • 10.4. Robotic milking parlours
  • 10.5. Overview of robotic milking parlours
  • 10.6. Autonomous robotic feed pushers
  • 10.7. Alternatives to autonomous robotic feed pushers
  • 10.8. Autonomous robotic shepherds
  • 10.9. Autonomous manure cleaning robots
  • 10.10. Ten-year market forecasts for robotic milking systems by country
  • 10.11. Ten-year market forecasts for automatic feed pusher and other mobile robotics in dairy farming


  • 11.1. Satellite vs. plane vs drone mapping and scouting
  • 11.2. Benefits of using aerial imaging in farming
  • 11.3. Unmanned drones in rice field pest control in Japan
  • 11.4. Unmanned drones and helicopters for field spraying
  • 11.5. Unmanned agriculture drones on the market
  • 11.6. Comparing different agricultural drones on the market
  • 11.7. Regulation barriers coming down?
  • 11.8. Agricultural drones: the emerging value chain
  • 11.9. Core company information on key agricultural drone companies
  • 11.10. Ten-year market forecasts for agricultural drones



  • 13.1. Suction-based end effector technologies for fresh fruit harvesting
  • 13.2. Simple and effective robotic end effectors for fruit harvesting
  • 13.3. Soft robotics based end effector technologies for fresh fruit handling
  • 13.4. Robotic end effector technologies for fresh fruit harvesting
  • 13.5. Dexterous robotic hands for agricultural robotics
  • 13.6. Examples of dexterous robotic hands


  • 14.1. RTK systems: operation, performance and value chain
  • 14.2. Lidar- basic operation principles
  • 14.3. Review of LIDARs on the market or in development
  • 14.4. Performance comparison of different LIDARs on the market or in development
  • 14.5. Assessing suitability of different LIDAR for agricultural robotic applications
  • 14.6. Hyperspectral image sensors
  • 14.7. Hyperspectral imaging and precision agriculture
  • 14.8. Hyperspectral imaging in other applications
  • 14.9. Hyperspectral imaging sensors on the market
  • 14.10. Common multi-spectral sensors used with agricultural drones
  • 14.11. GeoVantage


  • 15.1. Ten-year market forecasts for all agricultural robots and drones segmented by type and/or function
  • 15.2. Ten-year market forecasts for agricultural robots and drones segmented by type and/or function
  • 15.3. Ten-year market forecasts for autonomous and mobile agricultural robots and drones segmented by type and/or function
  • 15.4. Ten-year market forecasts for tractor guidance, autosteer and fully autonomous tractors/combines
  • 15.5. Ten-year market forecasts for autonomous robotic data scouts
  • 15.6. Ten-year market forecast for robotic weeding by technology type
  • 15.7. Ten-year market forecasts for robotic lettuce thinning and vegetable harvesting by technology and territory
  • 15.8. Ten-year market forecasts for robotic fresh citrus/apple harvesting by territory
  • 15.9. Ten-year market forecasts for robotic fresh strawberry harvesting by territory
  • 15.10. Ten-year market forecasts for robotic milking systems by country
  • 15.11. Ten-year market forecasts for automatic feed pusher and other mobile robotics in dairy farming
  • 15.12. Ten-year market forecasts for agricultural drones


  • 16.1. Agrobot
  • 16.2. Blue River Technology
  • 16.3. DeepField Robotics
  • 16.4. F. Poulsen Engineering ApS
  • 16.5. Fresh Fruit Robotics
  • 16.6. Harvest CROO Robotics
  • 16.7. Ibex Automation
  • 16.8. miRobot
  • 16.9. Naio Technologies
  • 16.10. Precision Hawk
  • 16.11. Quanergy
  • 16.12. Robotic Solutions
  • 16.13. Shadow Robotics
  • 16.14. Soft Robotics Inc
  • 16.15. Stream Technologies
  • 16.16. SwarmFarm Robotics
  • 16.17. Tillet and Hague
  • 16.18. Velodyne LiDAR


  • 17.1. 3D Robotics
  • 17.2. AGCO
  • 17.3. AgEagle
  • 17.4. AgJunction Inc
  • 17.5. Agribotix
  • 17.6. Airinov
  • 17.7. Autonomous Tractor Cooperation
  • 17.8. Beijing UniStrong Science and Technology (BUST)
  • 17.9. Case IH
  • 17.10. Empire Robotics
  • 17.11. Farmbot
  • 17.12. Festo
  • 17.13. Gamaya
  • 17.14. GrabIT
  • 17.15. Harvest Automation
  • 17.16. Headwall
  • 17.17. John Deere
  • 17.18. Kinzes Autonomous Harvest System
  • 17.19. Kubota Corp
  • 17.20. LeddarTech
  • 17.21. Lely
  • 17.22. Magnificant
  • 17.23. Micasense
  • 17.24. NavCom
  • 17.25. Nippon Signal
  • 17.26. Novariant
  • 17.27. Orbital Insight
  • 17.28. Parrot
  • 17.29. Pix4D
  • 17.30. Prospera
  • 17.31. Scanse
  • 17.32. senseFly
  • 17.33. Sentra
  • 17.34. SpeIR
  • 17.35. Trimble
  • 17.36. URSULA Agriculture
  • 17.37. Yanmar
  • 17.38. Yara


  • 18.1. Aarhus University
  • 18.2. Abundant Robotic Inc
  • 18.3. Adigo
  • 18.4. Aerial Technology Limited
  • 18.5. Agricultural Solutions Ltd
  • 18.6. Ai-Solution
  • 18.7. Amazonen-Werke
  • 18.8. Australian Centre of Field Robotics
  • 18.9. Autonomous Tractor Corporation
  • 18.10. BASF
  • 18.11. Bayer
  • 18.12. BeauMatic Robotics
  • 18.13. Bosch
  • 18.14. C. Write & Son Ltd
  • 18.15. Carnegie Mellow University
  • 18.16. Cerescon
  • 18.17. CNH Industrial (Case IH and New Holland)
  • 18.18. Conpleks Innovation (Kongskilde Vibro Crop Robotti)
  • 18.19. Cork University
  • 18.20. DBR Conveyor Concepts
  • 18.21. Delair-tech
  • 18.22. DeLaval
  • 18.23. DEMCON
  • 18.24. Deutz Fahr
  • 18.25. DJI
  • 18.26. Dorhout R&D
  • 18.27. Dow
  • 18.28. DroneDeploy
  • 18.29. DuPont
  • 18.30. ecoRobotix
  • 18.31. Energid
  • 18.32. Ferrari Costruzioni Meccaniche
  • 18.33. Festo
  • 18.34. FMTC
  • 18.35. Frankin Robotics
  • 18.36. Fuji Heavy Industries
  • 18.37. Gardford Machinery
  • 18.38. Geiger Lund
  • 18.39. GeoVantage
  • 18.40. Hexacon
  • 18.41. HoneyComb
  • 18.42. Industrial Technology Centre of Nagasaki
  • 18.43. JCB
  • 18.44. JOZ
  • 18.45. Kinov
  • 18.46. Kinze Autonomy
  • 18.47. Kongskilde Industries A/S (Kongskilde Vibro Crop Robotti)
  • 18.48. KU Leuven
  • 18.49. Lockheed Martin
  • 18.50. Mahindra Group
  • 18.51. Monosem
  • 18.52. Monsanto
  • 18.53. Nurfam
  • 18.54. Pneubotics
  • 18.55. Precision Planting LLC
  • 18.56. Pulse Electronics
  • 18.57. Queensland University of Technology(Agbot I and Agbot II)
  • 18.58. Resonon
  • 18.59. RoboPeak
  • 18.60. Rowbot
  • 18.61. SAC Milking
  • 18.62. SAPOS
  • 18.63. Schunk
  • 18.64. SICK
  • 18.65. Strauss Verpackungsmaschinen GmbH
  • 18.66. Sumitomo Chemical
  • 18.67. Syngenta
  • 18.68. Topcon
  • 18.69. University of Illinois
  • 18.70. University of New South Wales
  • 18.71. Vision Robots Corp
  • 18.72. Wageningen University
  • 18.73. Wall-Ye
  • 18.74. Wasserbauer
  • 18.75. Yamaha
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