Projects

An international collaboration between TUM and the University of Georgia exploring globally transferable workflows that integrate satellite-derived crop indicators with yield monitoring for sustainable nitrogen management.

Developing a human-centric generative AI smart app for weed detection and species recognition in arable farming, funded by TUM ForTe Bridge-to-Innovation Grant.

Optimizing nitrogen and weed control in wheat cultivation through drone-based remote sensing and AI-driven analysis.

Developing intelligent robotic systems for individualized crop and weed management.

Integrating biosensor technology and satellite data to optimize fertilizer application and promote sustainable farming practices.

An interdisciplinary project developing precision farming data analytics workflows using multi-sensor UAV and field data collected at TUM’s Dürnast research farm.

Empowering sustainable agriculture through AI-driven solutions, supported by the EXIST Business Start-up Grant.

An interdisciplinary seed fund project combining ecology and remote sensing to assess plant biodiversity and ecosystem services in urban community gardens.

A national consortium project quantifying and reducing ammonia emissions from synthetic nitrogen fertilizers across a network of field sites in Germany, with TUM contributing precision crop monitoring via remote sensing.

Developing satellite- and UAV-based decision support tools for optimized nitrogen management to reduce greenhouse gas and ammonia emissions in arable farming.