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Project | Agri-Gaia

Duration:
ein agrarwirtschaftliches KI-Ökosystem

ein agrarwirtschaftliches KI-Ökosystem

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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.

Partners

  • 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
  • LMIS AG
  • Universität Osnabrück
  • Wernsing Feinkost GmbH

Publications

All publications
  1. Assessment of Ground Conditions in Grassland on a Mower with Artificial Intelligence

    Christoph Manss; Viktor Martel; Roman Weisgerber

    In: Informatik in der Land-, Forst- und Ernährungswirtschaft. Jahrestagung der Gesellschaft für Informatik in der Land-, Forst- und Ernährungswirtschaft (GIL-2024), Fokus: Biodiversität fördern durch digitale Landwirtschaft, February 27-28, Stuttgart, Germany, Pages 1-6, GI Edition Lecture Notes in Informatics, Vol. 344, ISBN ISBN 978-3-88579-738-8, Lehmans Media, Köln, 2/2024.

Funding Authorities

BMWK - Federal Ministry for Economic Affairs and Climate Action

01MK21004A

BMWK - Federal Ministry for Economic Affairs and Climate Action