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Review of Research in the Area of Agriculture Mobile Robots

  • Sami Salama Hussen HajjajEmail author
  • Khairul Salleh Mohamed Sahari
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 291)

Abstract

Rise in demand for food worldwide has led the agriculture industry to shift towards Corporate Agriculture; major conglomerates operate huge lands with Precision Farming; maximizing outputs and utilization of resources while reduce waste and costs. This efficiency required the introduction of Automation and Robotics in Agriculture, which led to great technological challenges. This in turn sparked interest in research in the area of Agriculture Mobile Robots (AMRs). This paper reviews research in this area for the last 5 years; it highlights examples of robots already in action in fields around the world, identifies trends and important sub-topics, and finally outlines the direction of where research in Mobile Agriculture Robots is heading.

Keywords

Agriculture mobile robots Mobile robot navigation in agriculture Image processing for agriculture Tractor-trailer stability Agribots 

References

  1. 1.
    Eaton R et al (2008) Precision guidance of agricultural tractors for autonomous farming. In: 2nd annual IEEE systems conference, pp 1–8Google Scholar
  2. 2.
    Simon S (2010) Autonomous navigation in rubber plantations. In: 2nd international conference on machine learning and computing, pp 309–312Google Scholar
  3. 3.
    Gollakota A, Srinivas M (2011) Agribot—a multipurpose agricultural robot. In: IEEE India conference (INDICON), pp 1–4Google Scholar
  4. 4.
    Aloisio C et al (2012) Next generation image guided citrus fruit picker. In: IEEE international conference on technologies for practical robot applications (TePRA), pp 37–41Google Scholar
  5. 5.
    Jun W et al (2012) Design and co-simulation for tomato harvesting robots. In: 31st Chinese control conference (CCC), pp 5105–5108Google Scholar
  6. 6.
    Qingchun F et al (2012) Study on strawberry robotic harvesting system. In: IEEE international conference on computer science and automation engineering (CSAE), vol 1. pp 320–324Google Scholar
  7. 7.
    Shukla A, Jibhakate S (2011) Design and implementation of real time pollution free autonomous vehicle for harvesting on VI platform. In: International conference on electronics computer technology (ICECT), vol 1. pp 335–339Google Scholar
  8. 8.
    Aljanoobi A et al (2010) A setup of mobile robotic unit for fruit harvesting. In: 19th international workshop on robotics in Alpe-Adria-Danube region (RAAD), pp 105–108Google Scholar
  9. 9.
    Tamaki K et al (2009) A rice transplanting robot contributing to credible food safety system. In: IEEE workshop on advanced robotics and its social impacts, pp 78–79Google Scholar
  10. 10.
    Sakai S et al (2007) Robust control systems of a heavy material handling agricultural robot: a case study for initial cost problem. IEEE Trans Control Syst Technol 15(6):1038–1048CrossRefGoogle Scholar
  11. 11.
    Ruangwiset A, Higashino S (2012) Development of an UAV for water surface survey using video images. In: IEEE/SICE international symposium on system ntegration (SII), pp 144–147Google Scholar
  12. 12.
    Chatzimichali AP et al (2009) Design of an advanced prototype robot for white asparagus harvesting. In: IEEE international conference on advanced intelligent mechatronics, pp 887–892Google Scholar
  13. 13.
    Mingjun W et al (2012) Study on long-range navigation behavior of agricultural robots. In: International conference on computing, measurement, control and sensor network, pp 409–412Google Scholar
  14. 14.
    Patino HD et al (2009) Adaptive critic designs-based autonomous unmanned vehicles navigation: application to robotic farm vehicles. In: IEEE symposium on adaptive dynamic programming and reinforcement learning, pp 233–237Google Scholar
  15. 15.
    Cheng J et al (2012) Motion planning algorithm for tractor-trailer mobile robot in unknown environment. In: 8th international conference on natural computation (ICNC), pp 1050–1055Google Scholar
  16. 16.
    Long Y et al (2011) A system for fruit tree canopy characters measuring based on CAN-bus. In: International conference on intelligent computation technology and automation, vol 2. pp 15–21Google Scholar
  17. 17.
    Hansen S et al (2011) Orchard navigation using derivative free Kalman filtering. In: American control conference (ACC), pp 4679–4684Google Scholar
  18. 18.
    Piyathilaka L, Munasinghe R (2011) Vision-only outdoor localization of two-wheel tractor for autonomous operation in agricultural fields. In: 6th IEEE international conference on industrial and information systems (ICIIS), pp 358–363Google Scholar
  19. 19.
    Cheng F (2012) Apple picking robot obstacle avoidance based on the improved artificial potential field method. In: 5th IEEE international conference on advanced computational intelligence, pp 18–20Google Scholar
  20. 20.
    Yan-hong D (2011) PID controller optimization of mobile robot servo system. In: IEEE 2nd international conference on computing, control and industrial engineering (CCIE), vol 1. pp 235–237Google Scholar
  21. 21.
    Pazderski D, Kozlowski K (2012) Control of a unicycle-like robot with three on-axle trailers using transverse function approach. In: IEEE/RSJ international conference on intelligent robots and systems (IROS), pp 395–401Google Scholar
  22. 22.
    Cariou C et al (2009) Motion planner and lateral-longitudinal controllers for autonomous maneuvers of a farm vehicle in headland. In: IEEE/RSJ international conference on intelligent robots and systems, pp 5782–5787Google Scholar
  23. 23.
    de Sousa RV et al (2011) A methodology for coordinating primitive fuzzy behaviors to guide mobile agricultural robots. In: 9th international conference on control and automation, pp 280–285Google Scholar
  24. 24.
    Borrero G et al (2012) Fuzzy control strategy for the adjustment of front steering angle of a 4WSD agricultural mobile robot. In: 7th Colombian computing congress (CCC), pp 1–6Google Scholar
  25. 25.
    Prema K et al (2012) Online control of remote operated agricultural robot using fuzzy controller and virtual instrumentation. In: International conference on advances in engineering, science and management (ICAESM), pp 196–201Google Scholar
  26. 26.
    Jun C (2011) On-tracking control of agricultural mobile robot based on inner information. In: International conference on computer distributed control and intelligent environmental monitoring (CDCIEM), pp 103–106Google Scholar
  27. 27.
    Jun Zhou W (2008) Coordinating control for an agricultural vehicle with individual wheel speeds and steering angles. Control Syst IEEE 28(5):21–24CrossRefGoogle Scholar
  28. 28.
    Hamid MHA et al (2009) Navigation of mobile robot using global positioning system (GPS) and obstacle avoidance system with commanded loop daisy chaining application method. In: 5th international colloquium on signal processing & its applications, pp 176–181Google Scholar
  29. 29.
    Lulio LC et al (2009) JSEG-based image segmentation in computer vision for agricultural mobile robot navigation. In: IEEE international symposium on computational intelligence in robotics and automation, pp 240–245Google Scholar
  30. 30.
    Lulio LC et al (2010) ANN statistical image recognition method for computer vision in agricultural mobile robot navigation. In: International conference on mechatronics and automation, pp 279–283Google Scholar
  31. 31.
    Lulio LC et al (2010) Pattern recognition structured heuristics methods for image processing in mobile robot navigation. In: IEEE/RSJ international conference on intelligent robots and systems (IROS), pp 4970–4975Google Scholar
  32. 32.
    Lulio LC et al (2012) Cognitive-merged statistical pattern recognition method for image processing in mobile robot navigation. In: Robotics symposium and latin American robotics symposium (SBR-LARS), pp 279–283Google Scholar
  33. 33.
    Palipana S et al (2012) Localization of a mobile robot using ZigBee based optimization techniques. In: 6th IEEE international conference on information and automation for sustainability, pp 215–220Google Scholar
  34. 34.
    Zhao C, Jiang G (2010) Baseline detection and matching to vision-based navigation of agricultural robot. In: International conference on wavelet analysis and pattern recognition, pp 44–48Google Scholar
  35. 35.
    Jiang G, Zhao C (2010) A vision system based crop rows for agricultural mobile robot. In: International conference on computer application and system modeling, vol 11. pp 142–145Google Scholar
  36. 36.
    Zhao B et al (2010) Path recognition method of agricultural wheeled-mobile robot in shadow environment. In: International conference on digital ecosystems and technologies, vol 1. pp 284–287Google Scholar
  37. 37.
    Rajendra P et al (2011) Shading compensation methods for robots to harvest strawberries in tabletop culture. In: IEEE/SICE international symposium on system integration, pp 172–177Google Scholar
  38. 38.
    Morshidi MA et al (2008) Color segmentation using multi layer neural network and the HSV color space. In: International conference on computer and communication engineering, pp 1335–1339Google Scholar
  39. 39.
    Xiang R et al (2011) Research on image segmentation methods of tomato in natural conditions. In: 4th international congress on image and signal processing (CISP), vol 3. pp 1268–1272Google Scholar
  40. 40.
    Joycy JS, Prabavathy K (2012) Survey on automatic segmentation of relevant textures in agricultural images. In: International conference on advances in engineering, science and management (ICAESM), pp 26–32Google Scholar
  41. 41.
    Suzukiy S et al (2009) A human tracking mobile-robot with face detection. In: 35th IEEE annual conferecne on industrial electronics, pp 4217–4222Google Scholar
  42. 42.
    Matveev AS et al (2010) Mixed nonlinear-sliding mode control of an unmanned farm tractor in the presence of sliding. In: 11th international conference on control automation robotics & vision, pp 927–932Google Scholar
  43. 43.
    Wang Y et al (2011) Car-like mobile robot oriented digital acceleration control method. In: International conference on mechatronics and automation, pp 1491–1497Google Scholar
  44. 44.
    Morales J et al (2013) Static tip-over stability analysis for a robotic vehicle with a single-axle trailer on slopes based on altered supporting polygons. IEEE/ASME Trans Mechatron 18(2):697–705CrossRefGoogle Scholar
  45. 45.
    Zhe L, Minor M (2011) A tractor-trailer backing control for path following with side-slope compensation. In: IEEE international conference on robotics and automation (ICRA), pp 2386–2391Google Scholar
  46. 46.
    Cheng J (2011) Curve path tracking control for tractor-trailer mobile robot. In: 8th international conference on fuzzy systems and knowledge discovery (FSKD), vol 1. pp 502–506Google Scholar
  47. 47.
    Guan Y et al (2011) Climbot: a modular bio-inspired biped climbing robot. In: IEEE international conference on intelligent robots and systems, pp 1473–1478Google Scholar
  48. 48.
    Lun T, Xu Y (2011) Climbing strategy for a flexible tree climbing robot—treebot. IEEE Trans Robot 27(6):1107–1117CrossRefGoogle Scholar
  49. 49.
    Koshi K et al (2010) Greenhouse partner system. In: 41st international symposium on robotics, pp 1–8Google Scholar
  50. 50.
    Ali O, Van Oudheusden D (2009) Logistics planning for agriculture vehicles. In: IEEE international conference on industrial engineering and engineering management, pp 311–314Google Scholar

Copyright information

© Springer Science+Business Media Singapore 2014

Authors and Affiliations

  • Sami Salama Hussen Hajjaj
    • 1
    Email author
  • Khairul Salleh Mohamed Sahari
    • 1
  1. 1.Centre for Advanced Mechatronics and RoboticsUniversiti Tenaga NasionalKajangMalaysia

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