1. | EXECUTIVE SUMMARY |
1.1.1. | What are agricultural robots? |
1.1.2. | Current uses of agricultural robots |
1.1.3. | Potential uses of agricultural robots |
1.1.4. | Agriculture has historically been slow to digitise |
1.1.5. | This is beginning to change: companies developing digital and robotic solutions for agriculture |
1.1.6. | The state of agricultural robotics |
1.1.7. | Agricultural robotics: drivers and restraints |
1.1.8. | The trend towards precision agriculture |
1.1.9. | Applications of agricultural robotics |
1.1.10. | Application areas by technology readiness |
1.1.11. | Technology progression towards autonomous, ultra precision de-weeding |
1.1.12. | Variable rate technology for precision seed planting |
1.1.13. | Technology progression towards driverless autonomous large-sized tractors |
1.1.14. | Small autonomous robots vs. tractors |
1.1.15. | Drones are becoming increasingly autonomous |
1.1.16. | Where do drones fit in on a farm? |
1.1.17. | Robotic milking: a blueprint for the wider agricultural robotics industry? |
1.1.18. | Which crop sectors will see agricultural robots first? |
1.1.19. | Agricultural robotics and precision agriculture could lead to a new value chain emerging |
1.1.20. | Development in agricultural robotics remains slow |
1.1.21. | Agricultural robotics, market forecast by robot category |
1.1.22. | Agricultural robotics, market forecast by region |
2. | INTRODUCTION |
2.1. | Challenges facing 21st century agriculture: productivity and labour issues |
2.1.1. | 21st century agriculture is facing major challenges |
2.1.2. | Employment in agriculture is declining |
2.1.3. | As wealth increases, employment in agriculture decreases but agricultural productivity increases |
2.1.4. | Agricultural labour shortages |
2.1.5. | Agricultural labour costs are rising |
2.1.6. | Falling agricultural prices are tightening margins |
2.1.7. | Is agricultural automation part of the solution? |
2.2. | Challenges facing 21st century agriculture: agrochemicals |
2.2.1. | The environmental impact of fertilizers |
2.2.2. | Global pesticide use |
2.2.3. | Trends in global pesticide use |
2.2.4. | Regulations around pesticides are getting harsher |
2.2.5. | The environmental impact of pesticides |
2.2.6. | Agrochemicals are getting more expensive to develop |
2.2.7. | Roundup lawsuits: a potential blow for herbicides |
2.2.8. | Pesticide resistance |
2.2.9. | Is a precision agriculture approach part of the solution? |
2.2.10. | The trend towards precision agriculture |
2.3. | Agricultural robotics |
2.3.1. | What are agricultural robots? |
2.3.2. | Current uses of agricultural robots |
2.3.3. | Potential uses of agricultural robots |
2.3.4. | Agriculture has historically been slow to digitise |
2.3.5. | This is beginning to change: companies developing digital and robotic solutions for agriculture |
2.3.6. | Robotics: replacing or complementing human labour? |
2.3.7. | The state of agricultural robotics |
2.3.8. | The impact of COVID-19 on agriculture |
2.3.9. | Developing agricultural robots: more challenging than other industries? |
2.3.10. | Agricultural robotics: drivers and restraints |
2.3.11. | Levels of autonomy |
2.3.12. | Is full autonomy possible? |
2.3.13. | Autonomous sensor technologies |
2.3.14. | Satellite positioning |
2.3.15. | Electric vs non-electric agricultural robots |
2.3.16. | How large is the average farm? |
3. | AGRICULTURAL ROBOTICS: KEY APPLICATION AREAS |
3.1.1. | Applications of agricultural robotics |
3.1.2. | Application areas by technology readiness |
3.2. | Weed and pest control |
3.2.1. | Most commercial field robots are used for weeding |
3.2.2. | From manned, broadcast spraying towards autonomous precision weeding |
3.2.3. | Technology progression towards autonomous, ultra precision de-weeding |
3.2.4. | Oz by Naïo Technologies |
3.2.5. | Dino by Naïo Technologies |
3.2.6. | Autonomous weeding robots by Vitirover |
3.2.7. | Anatis by Carré |
3.2.8. | Challenges in robotic weeding |
3.2.9. | A comparison of different weeding methods |
3.2.10. | "Smart weeding" vs. traditional weeding |
3.2.11. | GEN-2 by Ekobot |
3.2.12. | Weed Whacker by Odd.Bot |
3.2.13. | Titan FT-35 by Roush and FarmWise |
3.2.14. | Robot One by Pixelfarming Robotics |
3.2.15. | Precision spraying |
3.2.16. | "Green-on-green" vs. "green-on-brown" |
3.2.17. | John Deere's acquisition of Blue River Technology |
3.2.18. | Blue River Technology (John Deere): "See and Spray" |
3.2.19. | Avo by ecoRobotix |
3.2.20. | Arbus 4000 JAV by Jacto |
3.2.21. | AX-1 by Kilter |
3.2.22. | Novel methods for weed removal |
3.2.23. | Dick by Small Robot Company |
3.2.24. | Robotic pest control: beyond weeds |
3.2.25. | Bug Vacuum by Agrobot |
3.3. | Robotic seeding |
3.3.1. | Automating seeding |
3.3.2. | Variable rate technology for precision seed planting |
3.3.3. | FD20 by FarmDroid |
3.3.4. | Genesis by FarmBot |
3.4. | Fully autonomous tractors |
3.4.1. | Small robots or big tractors? |
3.4.2. | Technology progression towards driverless autonomous large-sized tractors |
3.4.3. | Tractor guidance and autosteer technology for large tractors |
3.4.4. | Tractor autosteer - a first step towards autonomy |
3.4.5. | Semi-autonomous "follow-me" tractors |
3.4.6. | EOX-175 by H2Trac |
3.4.7. | Fully autonomous driverless tractors |
3.4.8. | Autonomous tractor concepts developed by the major tractor companies |
3.4.9. | When will fully autonomous tractors be ready? |
3.4.10. | Monarch Tractor |
3.4.11. | eTrac by Farmertronics |
3.4.12. | AgBot by AgXeed |
3.4.13. | Full automation of existing tractors |
3.5. | Autonomous implement carriers and platform robots |
3.5.1. | Small autonomous robots vs. tractors |
3.5.2. | Land Care Robot by Directed Machines |
3.5.3. | RoamIO by Korechi |
3.5.4. | SwarmBot 5 by SwarmFarm Robotics |
3.5.5. | Custom or standard implements? |
3.5.6. | Dot by Raven Industries |
3.5.7. | Robotti 150D by Agrointelli |
3.5.8. | Over-the-row vineyard robots |
3.5.9. | Bakus by VitiBot |
3.5.10. | Ted by Naïo Technologies |
3.5.11. | Trektor by SITIA |
3.5.12. | A comparison of over-the-row vineyard robots |
3.5.13. | Agricultural sprayer by Hubei Sense Intelligence Technology Co. |
3.5.14. | A vision of the future? The Fendt MARS project |
3.6. | Robotic fresh fruit and vegetable harvesting |
3.6.1. | Row crop and non-fresh fruit harvesting is largely mechanised |
3.6.2. | Fresh fruit picking remains largely manual |
3.6.3. | Strawberries and apples: the most popular targets |
3.6.4. | Robotic harvesting: apples |
3.6.5. | FFRobot apple harvester by FFRobotics |
3.6.6. | Robotic harvesting: strawberries |
3.6.7. | A comparison of strawberry harvesting robot developers |
3.6.8. | Strawberry picking robots in advanced development |
3.6.9. | Harvester B7 by Harvest CROO Robotics |
3.6.10. | Rubion by Octinion |
3.6.11. | Robotic harvesting: asparagus |
3.6.12. | Robotic asparagus harvesting projects |
3.6.13. | Sparter by Cerescon |
3.6.14. | Robotic harvesting in development for other crops |
3.6.15. | Challenges in developing fruit picking robots |
3.7. | Agricultural drones |
3.7.1. | Drones: application pipeline |
3.7.2. | Agricultural drones |
3.7.3. | Commercially available agricultural drones |
3.7.4. | Agricultural drones: key considerations |
3.7.5. | Aerial imaging in farming |
3.7.6. | Drones vs. satellites vs. aeroplanes |
3.7.7. | Where does drone spraying have regulatory approval? |
3.7.8. | Commercially available spraying drones |
3.7.9. | Drones are becoming increasingly autonomous |
3.7.10. | Agricultural drones: company landscape |
3.7.11. | Potential software opportunities in agricultural drones |
3.7.12. | Where do drones fit in on a farm? |
3.7.13. | Fruit picking drones by Tevel Aerobotics Technologies |
3.7.14. | CropHopper by HayBeeSee |
3.8. | Milking robots and other robotic dairy farming |
3.8.1. | Global trends and averages for dairy farm sizes |
3.8.2. | Global number and distribution of dairy cows by territory |
3.8.3. | Robotic (automatic) milking |
3.8.4. | Robotic milking is becoming increasingly widespread |
3.8.5. | Robotic milking: a blueprint for the wider agricultural robotics industry? |
3.8.6. | Robotic milking: advantages and disadvantages |
3.8.7. | Robotic milking: key players |
3.8.8. | Robotic feed pushers |
3.9. | Other applications |
3.9.1. | PothaFacile by Pietro Rivi |
3.9.2. | Tom by Small Robot Company |
3.9.3. | Rock Picker by TerraClear |
4. | ENABLING TECHNOLOGIES |
4.1. | Positioning technologies: RTK-GPS, LiDAR, and others |
4.1.1. | Navigation for autonomous agricultural robots |
4.1.2. | Navigation in agricultural environments |
4.1.3. | The challenge of safe positioning |
4.1.4. | Position accuracy vs. position integrity |
4.1.5. | Achieving safe positioning |
4.1.6. | Fixposition AG |
4.1.7. | Agreenculture |
4.1.8. | GPS as a tool for navigation |
4.1.9. | RTK systems: operation, performance and value chain |
4.1.10. | RTK systems for use in agriculture: value chain |
4.1.11. | Challenges of RTK-GPS |
4.1.12. | LiDAR |
4.1.13. | LiDAR, Radar, camera & ultrasonic sensors: comparison |
4.1.14. | Time of flight (TOF) LiDAR: Spatial Data Analysis |
4.1.15. | Performance comparison of different LiDARs on the market or in development |
4.1.16. | Assessing the suitability of different LiDAR for agricultural robotic applications |
4.2. | Hyperspectral imaging |
4.2.1. | Introduction to hyperspectral imaging |
4.2.2. | Multiple methods to acquire a hyperspectral data-cube |
4.2.3. | Line-scan hyperspectral camera design |
4.2.4. | Snapshot hyperspectral imaging |
4.2.5. | Illumination for hyperspectral imaging |
4.2.6. | Hyperspectral imaging as a development of multispectral imaging |
4.2.7. | Trade-offs between hyperspectral and multispectral imaging |
4.2.8. | Hyperspectral imaging and precision agriculture |
4.2.9. | Hyperspectral imaging from UAVs (drones) |
4.2.10. | Satellite imaging with hyperspectral cameras |
4.2.11. | Gamaya: Hyperspectral imaging for agricultural analysis |
4.2.12. | Supplier overview: Hyperspectral imaging |
4.3. | Artificial intelligence (AI) |
4.3.1. | What is Artificial Intelligence? |
4.3.2. | Key AI methods |
4.3.3. | Main deep learning (DL) approaches |
4.3.4. | DL makes automated image recognition possible |
4.3.5. | Image recognition AI is based on convolutional neural networks (CNNs) |
4.3.6. | Workings of CNNs: How are images processed? |
4.3.7. | Workings of CNNs: An additional example |
4.3.8. | Potential applications of machine learning in agriculture |
4.3.9. | AI for weed recognition |
4.3.10. | The challenge of image analysis |
4.3.11. | Deepening the neural network to increase accuracy |
4.3.12. | Deep learning: how accurate is "accurate enough"? |
4.3.13. | AI in agricultural robotics case study - ecoRobotix: deep learning for crop and weed recognition |
4.3.14. | AI in agricultural robotics case study - ecoRobotix: autonomous mobility |
4.4. | End effectors and gripper technology |
4.4.1. | End effector technology for fruit harvesting |
4.4.2. | Designing a harvesting end effector |
4.4.3. | End effectors for apple harvesting |
4.4.4. | End effectors for tomato harvesting |
4.4.5. | End effectors for cucumber harvesting |
4.4.6. | End effectors for pepper (capsicum) harvesting |
4.5. | Precision spraying technology |
4.5.1. | What is precision spraying? |
4.5.2. | Methods of spray control |
4.5.3. | Pulse width modulation (PWM) spraying |
5. | MARKET FACTORS |
5.1. | Market factors and business model considerations |
5.1.1. | Which crop sectors will see agricultural robots first? |
5.1.2. | Agricultural robotics and precision agriculture could lead to a new value chain emerging |
5.1.3. | Development in agricultural robotics remains slow |
5.1.4. | Revenues of major agricultural equipment suppliers |
5.1.5. | Robotics-as-a-service (RaaS) vs. equipment sales |
5.1.6. | Developing a successful business model |
5.1.7. | Investment strategies in agricultural robotics |
5.2. | Key market challenges in agricultural robotics |
5.2.1. | The cost of agricultural robots |
5.2.2. | IT infrastructure |
5.2.3. | Ownership and management of digital data |
5.2.4. | Adoption of robotics technology on farms |
6. | FORECASTS |
6.1. | Agricultural robotics, market forecast by robot category |
6.2. | Agricultural robotics, market forecast by robot category: data tables |
6.3. | Agricultural robotics, market forecast by region |
6.4. | Agricultural robotics, market forecast by region: data tables |
6.5. | Milking robots, market forecast by region |
6.6. | Weeding robots and seeding robots, market forecast by region |
6.7. | Autonomous tractors and implement carrying robots, market forecast by region |
6.8. | Robots for fresh fruit and vegetable harvesting, market forecast by region |
6.9. | Agricultural drones, market forecast by region |