FAIRe aims to develop resource-limited AI for embedded systems, cyber-physical systems, and edge devices. The development approach should extend comprehensively from the application layer to the physi
"What will I see when I turn this corner?" Depending on what is around that corner, this question is easy for us to answer. We are likely to see a refrigerator in a kitchen, ships at a port, and a str
The research project agrifoodTEF-DE (Germany) develops independent service blueprints to test and validate AI systems as well as robotic solutions under practical conditions in the agricultural sector
CALAHARI is a vision for a robot-assisted, semi-autonomous timber harvesting process. The synthesis of the requirements analysis for successful implementation in the forestry industry and the assessme
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
The Agri-Gaia project is creating an AI ecosystem for the agricultural and food industry based on Gaia-X. For this purpose, an innovative B2B platform is being realized that provides industry-specific
Partners Deutsches Forschungszentrum für Künstliche Intelligenz GmbH (DFKI) Institut für Energie und Kreislaufwirtschaft an der Hochschule Bremen GmbH Hochschule für Angewandte Wissenschaften Hamburg
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