Predictive task scheduler and ERP system for automated vegetable cultivation in an outdoor environment
dc.contributor.author | Maike, Simon | |
dc.contributor.author | Abbas, Farooq | |
dc.contributor.author | Lee, Ting Sheng | |
dc.contributor.author | Kühnast, Marvin | |
dc.contributor.author | Weber, Bettina | |
dc.contributor.author | Becker, Rolf | |
dc.contributor.author | Franko, Josef | |
dc.date.accessioned | 2024-04-08T11:56:35Z | |
dc.date.available | 2024-04-08T11:56:35Z | |
dc.date.issued | 2024 | |
dc.description.abstract | Automated spot farming is a promising approach to overcome the ecological and economical challenges in modern agriculture. This requires sophisticated robotic controls and data management. The AgriPV-Bot, as a full farming system for mixed vegetable farming, achieves this by extending a classical ERP (enterprise resource planning) system towards monitoring single plant cultivation. The task scheduler analyzes this data, determines the resulting horticultural process for each specific plant individually and monitors the process execution that is performed by robotics. This paper introduces the features of the ERP system as well as the strategy for the predictive task scheduler. | en |
dc.identifier.doi | 10.18420/giljt2024_03 | |
dc.identifier.isbn | 978-3-88579-738-8 | |
dc.identifier.pissn | 1617-5468 | |
dc.identifier.uri | https://dl.gi.de/handle/20.500.12116/43896 | |
dc.language.iso | en | |
dc.publisher | Gesellschaft für Informatik e.V. | |
dc.relation.ispartof | 44. GIL - Jahrestagung, Biodiversität fördern durch digitale Landwirtschaft | |
dc.relation.ispartofseries | Lecture Notes in Informatics(LNI) - Proceedings, Volume P - 344 | |
dc.subject | task scheduling | |
dc.subject | ERP system | |
dc.subject | Odoo | |
dc.subject | Robot Operating System (ROS) | |
dc.subject | spot farming | |
dc.title | Predictive task scheduler and ERP system for automated vegetable cultivation in an outdoor environment | en |
dc.type | Text/Conference Paper | |
gi.citation.endPage | 334 | |
gi.citation.publisherPlace | Bonn | |
gi.citation.startPage | 329 | |
gi.conference.date | 27.-28. Februar 2024 | |
gi.conference.location | Stuttgart | |
gi.conference.review | full |
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