Advertisement

Towards a Swarm Robotic System for Autonomous Cereal Harvesting

  • Alan G. MillardEmail author
  • Roopika Ravikanna
  • Roderich Groß
  • David Chesmore
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11650)

Abstract

Swarm robotics is an emerging technology that has the potential to revolutionise precision agriculture by coordinating fleets of small autonomous vehicles to minimise soil damage, increase farming resolution, lower the cost of automation, and provide solutions that are intrinsically safer and more sustainable than large monolithic systems. Here, we propose a novel swarm robotic system for autonomous harvesting of cereal crops such as wheat and barley. In contrast to existing agricultural swarm robotic systems, we intend to use small autonomous versions of traditional agricultural vehicles, in an attempt to narrow the skills gap for future end-users.

References

  1. 1.
    Albani, D., Nardi, D., Trianni, V.: Field coverage and weed mapping by UAV swarms. In: IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 4319–4325. IEEE (2017)Google Scholar
  2. 2.
    Blender, T., Buchner, T., Fernandez, B., Pichlmaier, B., Schlegel, C.: Managing a mobile agricultural robot swarm for a seeding task. In: 42nd Annual Conference of the IEEE Industrial Electronics Society (IECON), pp. 6879–6886 (2016)Google Scholar
  3. 3.
    Bochtis, D., Sørensen, C.G.: The vehicle routing problem in field logistics: Part I. Biosyst. Eng. 104(4), 447–457 (2009)CrossRefGoogle Scholar
  4. 4.
    Bochtis, D., Vougioukas, S.: Minimising the non-working distance travelled by machines operating in a headland field pattern. Biosyst. Eng. 101(1), 1–12 (2008)CrossRefGoogle Scholar
  5. 5.
    Brambilla, M., Ferrante, E., Birattari, M., Dorigo, M.: Swarm robotics: a review from the swarm engineering perspective. Swarm Intell. 7(1), 1–41 (2013)CrossRefGoogle Scholar
  6. 6.
    Department for Environment: Food & Rural Affairs: Agriculture in the United Kingdom 2017 (2017)Google Scholar
  7. 7.
    Emmi, L., Gonzalez-de Soto, M., Pajares, G., Gonzalez-de Santos, P.: New trends in robotics for agriculture: integration and assessment of a real fleet of robots. Sci. World J. 2014, 404059 (2014)Google Scholar
  8. 8.
    Oksanen, T., Visala, A.: Coverage path planning algorithms for agricultural field machines. J. Field Robot. 26(8), 651–668 (2009)CrossRefGoogle Scholar
  9. 9.
    Rohmer, E., Singh, S.P., Freese, M.: V-REP: a versatile and scalable robot simulation framework. In: 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems, pp. 1321–1326. IEEE (2013)Google Scholar

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Alan G. Millard
    • 1
    Email author
  • Roopika Ravikanna
    • 2
  • Roderich Groß
    • 2
  • David Chesmore
    • 3
  1. 1.School of Computing, Electronics and MathematicsUniversity of PlymouthPlymouthUK
  2. 2.Sheffield RoboticsThe University of SheffieldSheffieldUK
  3. 3.Department of Electronic EngineeringUniversity of YorkYorkUK

Personalised recommendations