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Organic sugar beet (Beta vulgaris L.) cultivation using the field robot Uckerbot as a system for sustainable farming

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dc.contributor.authorSteinherr, Leonie
dc.contributor.authorBelo, Miguel
dc.contributor.authorTrappe, Rodja
dc.contributor.authorAcosta-Ortiz, Dafne
dc.contributor.authorBirkmann, Amanda
dc.contributor.authorKrachunova, Tsvetelina
dc.contributor.authorBloch, Ralf
dc.date.accessioned2024-04-08T11:56:36Z
dc.date.available2024-04-08T11:56:36Z
dc.date.issued2024
dc.description.abstractThe 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.en
dc.identifier.isbn978-3-88579-738-8
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/43913
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartof44. GIL - Jahrestagung, Biodiversität fördern durch digitale Landwirtschaft
dc.relation.ispartofseriesLecture Notes in Informatics(LNI) - Proceedings, Volume P - 344
dc.subjectorganic sugar beet
dc.subjectartificial intelligence
dc.subjectfield robot
dc.subjectagroecology concept
dc.titleOrganic sugar beet (Beta vulgaris L.) cultivation using the field robot Uckerbot as a system for sustainable farmingen
dc.typeText/Conference Paper
gi.citation.endPage424
gi.citation.publisherPlaceBonn
gi.citation.startPage419
gi.conference.date27.-28. Februar 2077
gi.conference.locationStuttgart
gi.conference.reviewfull

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P344 - 44. GIL-Jahrestagung 2023 - Fokus: Biodiversität fördern durch digitale Landwirtschaft