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© DFKI, Osnabrück

Smart Agriculture Technologies

AI-Innovations for Agriculture

The DFKI competence center Smart Agriculture Technologies (CC-SaAT) synergizes the competences of the German Research Center for Artificial Intelligence in the field of agriculture. 

As a primarily application-oriented competence center, CC-SaAT brings together different agricultural technologies developed at DFKI. For that purpose, it can rely on the collective expertise of the world’s largest research center for artificial intelligence. 

The area of application considers agriculture in a broad sense and covers a wide range of topics, including arable and livestock farming, horticulture, forestry, viticulture and fishery. Together with industrial partners and other research institutes, CC-SaAT develops and applies innovative AI technologies in these fields. It is the central point of contact for partners from industry and research, and coordinates the corresponding activities within DFKI in these fields of application. 

CC-SaAT is financed by national and European research projects as well as industrial projects. Our business activities – targeted towards regional mid-sized companies up to global industry leaders, organizations and stakeholders – include the individual development of intelligent software solutions, technology transfer of internationally awarded research results, innovation consulting, scientific support, market surveys and feasibility studies.

Head

Dr. Stefan Stiene
Phone: +49 541 386050 2252

Dr. Ansgar Bernardi
Phone: +49 631 20575 1050

Contact

Deutsches Forschungszentrum für Künstliche Intelligenz GmbH (DFKI)
Kompetenzzentrum Smart Agriculture Technologies (CC-SaAT)
Hamburger Straße 24
49084 Osnabrück
Germany

Projects

Page 5 of 5.

  1. ELG - European Language Grid

    With 24 official EU and many more additional languages, multilingualism in Europe and an inclusive Digital Single Market can only be enabled through Language Technologies (LTs). European LT business…

  2. F-Predict - Development of a forecasting model regarding fertilizer prizes

    The project F-Predict is dedicated to creating a prediction model which can predict fertilizer prices. The experiences in financial forecasting which were gained in the project smart farming are used.…

  3. GEOBOX - Standardisierung der Geobox-Infrastruktur - Dezentrale Datenhaltung und regionale Vernetzung

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    Partners

    • Technische Universität Darmstadt (TU Darmstadt)
    • Kuratorium für Technik und Bauwesen in der Landwirtschaft e.V. (KTBL Darmstadt)
    • Dienstleistungszentrum Ländlicher Raum…
  4. ZIM Kartoffelfäule - Development of an image based detection system for monitoring areas of potato cultivation for an early detection of Phytophthora infestans deseases

    The cultivation of potato plants is an important factor for food supply in Germany and in many other countries. The potato blight (Phytophthora infestans) is the most relevant threat for the potato…

  5. SMARF - Smart Farming Welt - Herstellerübergreifende Vernetzung von Maschinen im landwirtschaftlichen Pflanzenbau mithilfe einer Service-Plattform

    Ziel des Forschungsprojektes SMARF ist die herstellerübergreifende Vernetzung von Maschinen im landwirtschaftlichen Pflanzenbau mithilfe einer Service-Plattform. Auf Basis der über Unternehmens- und…