Our research projects

Photo: Manuel Gutjahr


Individualisierte Mastitis-Risikoeinschätzung in der Milchviehhaltung durch Sensoren, Digitalisierung und künstliche Intelligenz
Coordinating Institute
Leibniz-Institut für Agrartechnik und Bioökonomie e.V. (ATB)
Freie Universität Berlin
Deutsche Sammlung von Mikroorganismen und Zellkulturen

Allocated to research program
The aim of the German-Irish cooperation project MEDICow is to develop a tool for early, individualised mastitis detection for dairy cows based on a multisensory approach. With the help of various methods from the field of artificial intelligence (AI), a highly sensitive mastitis risk assessment is to be made possible, thus significantly shortening the time between infection and treatment. As part of the project, the newly developed molecular mastitis detection methods are also to be tested and included in the project if they are suitable as a rapid test. A real-time decision support model is then to be developed based on the linking of sensor and analysis data. By linking historical data with current data in the form of neural networks and other AI methods, it should also be possible to issue warnings about animals at particular risk of disease. The inclusion of Irish udder health data should provide information on the influence of various husbandry conditions and weather influences on udder health. The MEDICow model should also be applicable to dairy farms with conventional milking technology.

Bundesministerium für Ernährung und Landwirtschaft (BMEL)
Funding agency
Bundesanstalt für Landwirtschaft und Ernährung - Projektträger
Grant agreement number
Funding framework
Förderung DE-IRL Kooperation durch BMEL


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