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


Federal Ministry for Economic Affairs and Climate Action


Federal Ministry for Economic Affairs and Climate Action


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Publications about the project

Fabian Erlemeyer, Christian Rehtanz, Annegret Hermanns, Marvin Nebel-Wenner, Reef Janes Eilers, Bengt Lüers

In: IEEE Electric Power and Energy Conference. IEEE Electric Power and Energy Conference (EPEC-2021) October 22-31 Toronto Ontario Canada IEEE Xplore 10/2021.

To the publication
Sebastian Pütz, Thomas Wiemann, Joachim Hertzberg

In: Karsten Berns, Maria Gini, Jun Ota (editor). Robotics and Autonomous Systems (RAS) 138 Pages 103688-38 Elsevier 4/2021.

To the publication
Mark Höllmann, Joachim Hertzberg

In: Perception and Navigation for Autonomous Robotics in Unstructured and Dynamic Environments. Perception and Navigation for Autonomous Robotics in Unstructured and Dynamic Environments located at 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems September 27-October 1 Prague Czech Republic unknown 2021.

To the publication

German Research Center for Artificial Intelligence
Deutsches Forschungszentrum für Künstliche Intelligenz