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Robotic process control for multi-vegetable micro spot-farming using digital twin simulation

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dc.contributor.authorWeber, Bettina
dc.contributor.authorChande, Sahil
dc.contributor.authorMaike, Simon
dc.contributor.authorVerbunt, Maarten
dc.contributor.authorLee, Ting Sheng
dc.contributor.authorBecker, Rolf
dc.contributor.authorFranko, Josef
dc.date.accessioned2024-04-08T11:56:36Z
dc.date.available2024-04-08T11:56:36Z
dc.date.issued2024
dc.description.abstractCurrent robotic approaches in smart farming are often limited to a specific task such as weeding or harvesting. Contrary to this, the AgriPV-Bot aims at sustainable and efficient micro spot full vegetable farming by focusing on mixed vegetable cultivation through automated horticultural processes. Such a holistic approach requires sophisticated robotic process control. This paper presents the development of the underlying state machine built in ROS SMACH to handle a variety of tasks within the system. All processes and interactions of sensors and actuators are first simulated on the digital twin software Gazebo before being deployed in the real environment. This allows for rapid iterations of software and reduces dependencies on season and crop availability regarding physical field tests.en
dc.identifier.doi10.18420/giljt2024_34
dc.identifier.isbn978-3-88579-738-8
dc.identifier.issn2944-7682
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/43917
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.subjectmicro spot-farming
dc.subjectprocess control in agriculture
dc.subjectfull farming automation
dc.subjectstate machines
dc.subjectdigital twin
dc.titleRobotic process control for multi-vegetable micro spot-farming using digital twin simulationen
dc.typeText/Conference Paper
gi.citation.endPage448
gi.citation.publisherPlaceBonn
gi.citation.startPage443
gi.conference.date27.-28. Februar 2024
gi.conference.locationStuttgart
gi.conference.reviewfull

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