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

Seit dem 1. September 2021 hat Dr. Stefan Stiene eine Professur für intelligente Agrarsysteme an der Hochschule Osnabrück inne. Nach über 10 Jahren…

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The joint project "Stadt-Land-Fluss" (SLF) funded by the Federal Ministry of Food and Agriculture (BMEL) started on 1 June. The Eberswalde University…

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Gastbeitrag von Prof. Dr. Joachim Hertzberg, Leiter des Forschungsbereichs Planbasierte Robotersteuerung, DFKI Labor Niedersachsen

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Projekte

Assistance system and field route planning in harvesting operations

Automation and optimization are becoming increasingly important in agricultural processes. In addition to improvements in efficiency, soil protection is gaining attention. The project SOILAssist-3…

Artificial Intelligence for Earth Observation Solution Factory

Within the AI4EO Solution Factory we combine our AI expertise with EO data to develop customized state-of-the-art solutions for business cases as diverse as agriculture, urban planning disaster…

PlantMap

The PlantMap project goal is a high-resolution spatiotemporal 3D map representation of individual plants –

the PlantMap. Such a map will be filled with plant data taken by autonomous robots navigating…

ROLAND

The aim of the project is to design and develop a semi-autonomous, mobile system that is capable of harvesting fruit independent of human interaction. While robotic systems are currently used mainly…

smart Multisensor Integration for Livestock Care

Im Projekt smartMILC wird das Konzept eines „digitalen Stalls“ zur Unterstützung von landwirtschaftlichen Prozessen und Services mit besonderem Anwendungsfokus auf dem Nutztier Rind erforscht. Durch…

selective management of harmful and non-harmful weeds using artificial intelligence

The spontaneous vegetation that accompanies arable farming (generally referred to as (un)harmful weeds) can lead to major yield losses if not controlled. However, of the approximately 350 plant…

Roboter Bodeninteraktionsevaluierung in der Landwirtschaft

Im Rahmen des RoBivaL-Projekts werden verschiedene Roboter-Lokomotionskonzepte aus der Weltraumforschung und aus landwirtschaftlichen Anwendungen anhand von Experimenten, die unter Agrar-Bedingungen…

6G for Society and Sustainability

The project "Open6GHub" develops a 6G vision for sovereign citizens in a hyper-connected world from 2030. The aim of the Open6GHub is to provide contributions to a global 6G harmonization process and…

Mobile visual quality recognition through artificial intelligence for the food industry

The determination of product-relevant data is to be carried out using specific image processing. In addition to an RGB camera to evaluate the color information on the product surface, this also…

Plant breeding using robotics and AI for advanced data analysis and decision making in virtual spaces

The project "PORTAL - Plant breeding using robotics and AI for advanced data analysis and decision making in virtual spaces " will extend and bring together state-of-the-art technologies from the…

German Research Center for Artificial Intelligence
Deutsches Forschungszentrum für Künstliche Intelligenz