ein agrarwirtschaftliches KI-Ökosystem

ein agrarwirtschaftliches KI-Ökosystem

The Agri-Gaia project is creating an AI ecosystem for the agricultural and food industry based on Gaia-X. For this purpose, an innovative B2B platform is being realized that provides industry-specific adapted AI building blocks as easy-to-use modules and brings together users and developers of AI algorithms. Agri-Gaia closes the circle from sensor data acquisition in the field, training of algorithms on appropriate servers and continuous updating/optimization of algorithms. Appropriate interfaces and standards will be developed, creating a multi-vendor infrastructure for the exchange of data and algorithms. This ecosystem will be built on top of the Gaia-X infrastructure as it ideally meets the requirements of the industry and the Agri-Gaia ecosystem in terms of data sovereignty, decentralization/multi-cloud and edge support, and service delivery. Agri-Gaia demonstrates via use cases how this system enables the industry to address the key issues of more efficient and at the same time sustainable agriculture. The application-strong Agri-Gaia consortium (with many national and international market leaders) and a vibrant and growing stakeholder ecosystem supported by Agri-Gaia ensure direct market relevance of Gaia-X in this important German industry.


  • AgBrain GmbH
  • Agrotech Valley Forum e.V.
  • Amazonen-Werke H.Dreyer GmbH & Co.KG
  • Robert Bosch GmbH
  • CLAAS E-Systems KGaA mbH & Co KG
  • DFKI GmbH
  • Hochschule Osnabrück
  • Josef Kotte Landtechnik GmbH & Co. KG
  • Maschinenfabrik Bernard Krone GmbH & Co. KG
  • Universität Osnabrück
  • Wernsing Feinkost GmbH


BMWK - Federal Ministry for Economic Affairs and Climate Action


BMWK - Federal Ministry for Economic Affairs and Climate Action

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Publications about the project

Naeem Iqbal; Christoph Manss; Christian Scholz; Daniel Koenig; Matthias Igelbrink; Arno Ruckelshausen

In: Proceedings of the 18th Conference on Computer Science and Intelligence Systems. Workshop on AI in Agriculture (AgriAI-2023), located at 18th FedCSIS, September 17-20, Warsaw, Poland, Institute of Electrical and Electronics Engineers, 9/2023.

To the publication

Naeem Iqbal; Justus Bracke; Anton Elmiger; Hunaid Hameed; Kai von Szadkowski

In: Resiliente Agri-Food-Systeme: Herausforderungen und Lösungsansätze. GIL-Jahrestagung (GIL-2023), February 13-14, Osnabrück, Germany, Gesellschaft für Informatik, 2/2023.

To the publication

Mark Niemeyer; Sebastian Pütz; Joachim Hertzberg

In: 2022 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems. IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI-2022), September 20-22, Cranfield, United Kingdom, IEEE, 9/2022.

To the publication

German Research Center for Artificial Intelligence
Deutsches Forschungszentrum für Künstliche Intelligenz