Hello guest
Your basket is empty
We provide two pathways to the content. Thematic (chapters that address certain themes, e.g. cultivation, regardless of crop or animal type) and Product (chapters that relate to a specific type of crop or animal). Choose the most applicable route to find the right collection for you. 
 
Can’t find what you are looking for? Contact us and let us help you build a custom-made collection. 
You are in: All categories > Open Access
Use the Contact form to discuss the best purchasing method for you... Start building your collection today!

Implementing a digital twin for flexible operation of agricultural robotics

Code: 9781801469913
Frits K. van Evert, Trim Bresilla, Ard Nieuwenhuizen, Bram Veldhuisen and Jochen Hemming, Wageningen University & Research, The Netherlands; Giannis Avgoustakis, Spyros Fountas, Michael Koutsiaras and Nikos Mylonas, Agricultural University of Athens, Greece; Suzanne Baron, Agricultural Robotics and Automatization, France; Thanos Dritsopoulos and Markos Legas, Pegasus, Greece; Han Hilbrands and Jeroen Wolters, Smart Agri Technology BV, The Netherlands; Klaas Jan Hommes, Abemec BV, The Netherlands; Panagiotis Karagiannis, Sotiris Makris and George Michalos, University of Patras, Greece; Dimitrios Paraforos and Galibjon Sharipov, University of Hohenheim, Germany; Søren Marcus Pedersen, University of Copenhagen, Denmark; Bertrand Pinel, Terrena Societe Cooperative Agricole, France; Mladen Radisic, Foodscale Hub, Serbia; Juan F. Rascón and Carlos Rizzo, Eurecat, Centre Tecnològic de Catalunya, Spain; Raul Sanchez, Serrater, Spain; Alea Scovill, AgroIntelli, Denmark; Oriol Serra, Giropoma, Spain; and Josep Vidal, Teyme, Spain

Chapter synopsis:

Robots have replaced labour in several sectors of the economy. In industrial manufacturing, digital twin systems allow to plan, schedule and optimize production by robots. In agriculture, robots have not yet reached widespread acceptance, in part because digital twin technology is rarely used. The aim of the ROBS4CROPS project is to accelerate the transition towards robotic agriculture by bringing knowledge and experience from the manufacturing domain to agriculture. The project envisions an agricultural robotic system that consists of autonomous vehicles and smart implements that are orchestrated by a Farming Controller. At the half-way mark of our 4-year project, we are able to present autonomous vehicles and smart vehicles working in four European countries, as well as an early implementation of the Farming Controller. Results so far indicate that the project’s vision is achievable and that digital twin technology will be helpful in the acceptance of robots in agriculture.



DOI: 10.19103/AS.2023.0124.28

Click here to download
£0.00
Table of contents
  • 1 Introduction
  • 2 Agricultural system under study
  • 3 Agricultural robotic system
  • 4 Case study results
  • 5 Discussion
  • 6 Conclusion
  • 7 Where to look for further information
  • 8 Acknowledgements
  • 9 References

Also in Open Access