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Predictive task scheduler and ERP system for automated vegetable cultivation in an outdoor environment

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2024

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Gesellschaft für Informatik e.V.

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.

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Maike, Simon; Abbas, Farooq; Lee, Ting Sheng; Kühnast, Marvin; Weber, Bettina; Becker, Rolf; Franko, Josef (2024): Predictive task scheduler and ERP system for automated vegetable cultivation in an outdoor environment. 44. GIL - Jahrestagung, Biodiversität fördern durch digitale Landwirtschaft. DOI: 10.18420/giljt2024_03. Bonn: Gesellschaft für Informatik e.V.. PISSN: 1617-5468. ISBN: 978-3-88579-738-8. pp. 329-334. Stuttgart. 27.-28. Februar 2024

Keywords

task scheduling, ERP system, Odoo, Robot Operating System (ROS), spot farming

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