Specification of 5G networks for agricultural use cases using the example of harvesters operated by swarm robotics

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Walter, T.B.; Lörsch, K.; Stroh, M.-F.; Stich, V.: Specification of 5G networks for agricultural use cases using the example of harvesters operated by swarm robotics. In: Herberger, D.; Hübner, M.; Stich, V. (Eds.): Proceedings of the Conference on Production Systems and Logistics: CPSL 2023 - 1. Hannover : publish-Ing., 2023, S. 375-383. DOI: https://doi.org/10.15488/13456

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Sum total of downloads: 67




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Abstract: 
Feeding the growing world population is a scientific and economic challenge. The target variables to be optimised are the yield that can be produced on a given area and the reduction of the resources used for this purpose. High-wage countries are faced with the problem that the use of personnel is a significant cost driver. Developing countries, on the other hand, usually operate on much smaller field sizes, so that the work in the field is still strongly characterised by manual labour. One solution to meet these challenges is the use of smaller autonomous harvesting robots. These can be networked into a swarm of machines to work even larger fields. The networking of autonomous agricultural machines is a key use case for rural 5G networks. 5G technology can offer many advantages over older mobile communications standards and therefore make use cases more efficient or enable new ones. Various use cases are also conceivable in the field of agriculture, yet it is unclear how 5G networks can and must be specified for this purpose. In this paper, using the example of 5G-connected harvesters powered by swarm robotics, we present the challenges that have arisen and the specification that has been developed.
License of this version: CC BY 3.0 DE
Document Type: BookPart
Publishing status: publishedVersion
Issue Date: 2023
Appears in Collections:Proceedings CPSL 2023 - 1
Proceedings CPSL 2023 - 1

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pos. country downloads
total perc.
1 image of flag of Germany Germany 29 43.28%
2 image of flag of United States United States 13 19.40%
3 image of flag of India India 5 7.46%
4 image of flag of China China 3 4.48%
5 image of flag of No geo information available No geo information available 2 2.99%
6 image of flag of Taiwan Taiwan 2 2.99%
7 image of flag of Japan Japan 2 2.99%
8 image of flag of United Kingdom United Kingdom 2 2.99%
9 image of flag of Australia Australia 2 2.99%
10 image of flag of Ireland Ireland 1 1.49%
    other countries 6 8.96%

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