Our TUM Precision Agriculture Lab contributed three talks to the “Hyperspectral remote sensing and AI in Agriculture” workshop at the University of Luxembourg workshop (4–5 Feb 2026), covering trait-based crop monitoring, UAV SIF for NUE, and uncertainty from atmospheric correction.

Our lab joined the PHENET workshop at INRAE Montpellier to exchange ideas on phenotyping infrastructure, standards, and AI-ready data pipelines for scalable crop monitoring.

We are delighted to announce the successful doctoral defense of David Gackstetter, who completed his dissertation on spatial generalization in satellite image time series classification through transfer learning and data harmonization.

The inaugural LSE Get2Gether brought together early-career researchers across the Life Science Engineering department. PagLab was represented with three poster presentations and a group overview highlighting our mission in precision agriculture and remote sensing.

The BIGSTAR workshop successfully brought together internationally renowned scientists from across the world to discuss remote sensing technologies for global sustainable agricultural resources.