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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

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  1. SmartRecycling - SmartRecycling - AI and Robotics for a sustainable circular economy

    Partners

    Deutsches Forschungszentrum für Künstliche Intelligenz GmbH (DFKI)

    Institut für Energie und Kreislaufwirtschaft an der Hochschule Bremen GmbH

    Hochschule für Angewandte Wissenschaften…

  2. DIGITbrain - Digital twins bringing agility and innovation to manufacturing SMEs, by empowering a network of DIHs with an integrated digital platform that enables Manufacturing as a Service (MaaS)

    DIGITbrain Project is an EU innovation program to give SMEs easy access to digital twins.

    A Digital Twin is the virtual representation of a product, system or process that simulates its physical…

  3. TreeSatAI - Künstliche Intelligenz mit Erdbeobachtungs- und Multi-Source Geodaten für das Infrastruktur-, Naturschutz und Waldmonitoring

    Remote sensing data from various space missions as well as geodata on the state of the environment are increasingly available free of charge in immense quantities.At the same time, social media…

  4. Agro-Nordwest - 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…

  5. SimLearn - 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…

  6. ZLA - 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…

  7. Agri-Gain - 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…

  8. DAKIS - 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…

  9. SUSKULT - Entwicklung eines nachhaltigen Kultivierungssystems für Nahrungsmittel resilienter Metropolregionen

    Weshalb? Aus der Vielzahl an Auswirkungen der modernen Nahrungsmittelproduktion auf das System Erde sticht die Veränderung von P- und N-kreisläufen besonders hervor. Es ist die zentrale Zukunftsfrage,…

  10. EVAREST - Development and utilization of data products in the food industry via smart services

    The objective of EVAREST is the development and utilization of data products as economic goods in the ecosystem of food production based on an open, technical data platform, which is designed beyond…