Project
Title
DeepFarmBots - KI-basierte Agrarrobotik für eine effiziente und nachhaltige Landwirtschaft
Acronym
DeepFarmBots
Start
01.04.2023
End
30.09.2025
Coordinating Institute
Fraunhofer Institut für Fertigungstechnik und Angewandte Materialforschung
Contact
Partner
A.I.LAND GmbH
ADCON Telemetry
Agreenculture
AGVOLUTION GmbH
Ant Robotics GmbH
Biolandhof von Agris
CAPACITÉS SAS
Finca Corvite S.L.
Deutsches Forschungszentrum für Künstliche Intelligenz GmbH
farming revolution GmbH
Fraunhofer Institut für zerstörungsfreie Prüfverfahren Dresden
Hochschule für Nachhaltige Entwicklung Eberswalde
KYTHERA
LACOS Computerservice GmbH
Leibniz-Institut für Agrartechnik und Bioökonomie e.V. (ATB)
NAO TECHNOLOGIES
OndoSense GmbH
Othmerding Maschinenbau GmbH & Co. KG
Technische Universität Kaiserslautern
Association RobAgri
Universität des Saarlands
VITIROVER
W. Neudorff GmbH KG
WELLGO SYSTEMS GMBH
ZAUBERZEUG GMBH
Leibniz-Zentrum für Agrarlandschaftsforschung e.V. (ZALF)
FundingFrame Dr. Armin Renner-Kottenkamp
JANINE NEUF
Allocated to research program
Summary
The network for DeepFarmBots AI-based agricultural robotics for efficient and sustainable agriculture aims to create new products, processes and services for the use of agricultural robots in different application areas of agriculture.
Special attention will be paid to the development of technical solutions that can be used in multiple robotic systems across applications.
The central goal of the network is to develop new technical solutions for the essential, hitherto open tasks in agricultural robotics through synergistic cooperation between the participating companies and research institutions and to develop joint concepts for their marketing. The robot systems are intended to offer an alternative to current agricultural practices, some of which are not very environmentally friendly, and to replace them in the medium to long term. On the technological side, the R&D projects within the network aim in particular to link agricultural robotics with new approaches from artificial intelligence, especially deep learning, in order to significantly increase the precision and capabilities of robot-based systems.
Funding
Bundesministerium für Wirtschaft und Klimaschutz
Funding agency
VDI/VDE Innovation + Technik GmbH
Funding framework
ZIM Netzwerk