P344 - 44. GIL-Jahrestagung 2024 - Fokus: Biodiversität fördern durch digitale Landwirtschaft

Permanent URI for this collectionhttps://dl.gi.de/handle/20.500.12116/43863

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Ackermann, Andrea
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Assmann, Denise
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Aue, Alexander
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Becker, Rolf
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Conrad, Christopher
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Author: search.filters.author.Birkmann, AmandaSubject: search.filters.subject.artificial intelligence

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  • Conference Paper
    Organic sugar beet (Beta vulgaris L.) cultivation using the field robot Uckerbot as a system for sustainable farming
    (Gesellschaft für Informatik e.V., 2024) Steinherr, Leonie; Belo, Miguel; Trappe, Rodja; Acosta-Ortiz, Dafne; Birkmann, Amanda; Krachunova, Tsvetelina; Bloch, Ralf
    The field robot Uckerbot is an autonomous mobile robot developed in a co-design process by farmers, industry and researchers for intra-row weed control in organic sugar beets. First on-farm results indicated better performance of the Uckerbot compared with common weed hoeing strategies. The robot showed 90% accuracy of sugar beet detection and 88% weed efficiency with a drill mechanism. Further development of the robot includes enabling it to work in a robot swarm for an increase in efficiency and working speed and enabling the image recognition system to distinguish between different weed types. This will allow the Uckerbot to skip tolerable wild field herbs for increased biodiversity.
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