Towards an AI-driven open-core farm management system with economic, ecological, and social impact

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Authors: Marco Pleines, Dahl, Lucas, Fränk Zimmer, Bettina Weber, Simon Maike, Tim Redick, Josef Franko
Cited by: 0

Abstract

Agricultural systems face ever-growing volumes of heterogeneous data and tightening regulatory demands, especially as the EU Data Act raises expectations for transparency and responsible data governance. In response, we conceptualize an open-core, AI-assisted Farm Management System (FMS) that enables sovereign data spaces to foster interoperability, support digital sovereignty, and preserve farmer control of data across the agricultural value chain. We leverage Odoo – an open-core Enterprise Resource Planning (ERP) system – as the foundation where large language model agents automate module creation and maintenance. This approach positions customization as the engine that drives interoperability, automation, and future capabilities. Operated by a non-profit organization, the platform reinforces social inclusion, economic resilience, and ecological responsibility.

Fields of Study & Subjects

Smart Agriculture and AI Digitalization and Economic Development in Agriculture Agricultural economics and policies

Publication details

Journal / source
Gesellschaft für Informatik (GI)
Publication date
1 January 2026
Language
EN