Digital Agriculture

Digitization in agriculture is already proceeding at a rapid pace: more and more autonomous machines are being developed and used, machine learning algorithms are being used for isolated tasks, data from sensors are being collected and remote sensing is helping in decision-making. In many cases, this digitization process is strongly driven by international companies. The aim of this project is to build up a future-oriented experimental infrastructure within the framework of Digital Experimental Farms as "Digital Twins" in order to establish research and teaching on an international level and to develop solutions that can be used as reference for the partner universities and subsequent use by other university institutions.