Abstract
These days, agricultural tasks are getting more and more complex due to the increasing world population. Much research is going on in the area of mobile agricultural robots that can take over applications to accomplish the demand for higher productivity and the lack of manpower. The downside of developing autonomous systems in this very area is the fact that testing of these is strictly limited depending on the season and the application itself. Such testing and improving the robustness can be achieved by working in a simulated environment first which is as well a complex task as a model of the real world is simply impossible to create. This paper gives an overview of typical agricultural tasks and effects that need to be simulated and how to approach a suitable realism of simulation environments. Further, ways are described which steps are to be taken to optimize results.
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Dellmann, T., Berns, K. (2022). Toward a Realistic Simulation for Agricultural Robots. In: Ronzhin, A., Berns, K., Kostyaev, A. (eds) Agriculture Digitalization and Organic Production . Smart Innovation, Systems and Technologies, vol 245. Springer, Singapore. https://doi.org/10.1007/978-981-16-3349-2_1
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DOI: https://doi.org/10.1007/978-981-16-3349-2_1
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