Since its founding in 2020, the TUM Precision Agriculture Lab has been committed to empower smart farming research, education, and practice.


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.

DeepSpecN combines PROSPECT-PRO simulations with Conv-Transformer models to estimate leaf nitrogen content from hyperspectral reflectance, eliminating the need for field data collection while achieving unprecedented accuracy.

Members of the Precision Agriculture Lab at the Technical University of Munich participated in the European Plant Phenomics Symposium (EPPS 2025), held in Bonn, Germany, from 16–19 September 2025.
Professor Kang Yu, together with PhD candidates Wuhua Wang, Xiaoxin Song, and Fei Wu, represented the group and shared our recent activities in UAV-based field phenotyping.
