Joint Lab Artifical Intelligence & Data Science

Cooperation of the Leibniz Institute for Agricultural Engineering and Bioeconomy Potsdam and the University Of Osnabrück


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Joint Lab for Artificial Intelligence and Data Science

The University of Osnabrück and the Leibniz Institute for Agricultural Engineering and Bioeconomy (ATB) in Potsdam are now jointly training doctoral students at the interface of agricultural science and artificial intelligence. The cooperation is supported by the Lower Saxony Ministry of Science and Culture (MWK) funded through the zukunft.niedersachsen program of the Volkswagen Foundation with around 6.7 million euros. The associated partners are Agrotech Valley Forum, German Research Center for Artificial Intelligence (DFKI) and Osnabrück University of Applied Sciences. The core objective of the Joint Lab KI & DS is to develop artificial intelligence (AI) and data science (DS) expertise, especially for agricultural technology issues.

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Focus Workshop “Digital twin as a tool for agriculture"

Where is the potential for digital twins in agriculture?  Where can they be used and what functions do they perform to simplify agricultural processes and provide precise digital support?

On June 18, the Agrotech Valley Forum organized a focus workshop to discuss and evaluate the application possibilities and functions of digital twins in agriculture. Both companies and scientific institutions were invited to this event. The Osnabrück University of Applied Sciences and the Joint Lab KI & DS provided a solid foundation with scientific presentations that offered an excellent basis for discussion.

Excursion study project - The Joint Lab also brings Osnabrück University and ATB Potsdam closer together in teaching.

A group of 13 students and lecturers from Osnabrück University went on a three-day excursion to the ATB in Potsdam at the end of May. The excursion is part of the study project in the Master's degree course in Geoinformatics. Together with researchers from ATB Potsdam and Osnabrück University, the students visited alternative agricultural systems such as agroforestry systems, short rotation plantations and paludicultures. They were then able to collect measurement data on the areas, which will be analyzed in the further course of the study project. A particular focus was on flights with drones equipped with various sensors such as simple cameras, multispectral cameras or laser scanners.