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)
Albert-Einstein-Str. 1
49076 Osnabrück
Germany

News

Wie kann Künstliche Intelligenz dabei helfen, die globalen Herausforderungen im Bereich der Agrarwirtschaft zu bewältigen und auch mittelständischen...

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DFKI-Lower Saxony Labs open in Osnabruck and Oldenburg

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Federal government supports efficient data exchange in the agricultural sector with one million euros - The development of GeoBox is progressing:...

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Projekte

Agro-Nordwest: experimental field for digital transformation in agricultural crop production

The Experimental Field Agro-Nordwest focuses on the practical digital transformation, mainly in arable farming. Considering the aspects of economy, ecology, and integrating humans, problems of a...

Zukunftslabor Agrar

Digitisation of agriculture (DdL), like digitisation in every field of application, requires technical permeability of the value creation networks concerned for the data generated; the actors in every...

Completing Training Data by Iteratively Learning Simulation

Machine learning methods based on existing training data have proven to be very effective in identifying patterns and implicit dependencies even in complex situations with many parameters and in...

Agrarwirtschaftlicher Gateway für Künstliche Intelligenz

Ziel von Agri-Gain ist es, der deutschen Agrar- und Ernährungswirtschaft den Einsatz von KI-Technologie zu ermöglichen. Die Vision ist eine Plattform, die KI-Bausteine bereits im Anwendungskontext zur...

Digital Agricultural Knowledge and Information

The Project “Digital Agricultural Knowledge and Information System” (DAKIS) contributes to the vision for spatially and functionally diversified agricultural systems of the future with the aim to...

German Research Center for Artificial Intelligence
Deutsches Forschungszentrum für Künstliche Intelligenz