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


Congratulations to Dr. Ali Mokhtari, who successfully defended his PhD thesis on estimating crop water and nitrogen limitations from satellite remote sensing, bridging soil physics, crop physiology, and Earth observation.

From 24–31 July 2026, the TUM GlobalNitroLink project team visited the University of Georgia in Athens, GA — touring the Institute for Integrative Precision Agriculture (IIPA) and the Iron Horse Farm research station, holding a joint TUM–UGA seminar, and exploring collaborations in precision agriculture research and education.

On 2 July 2026, University of Queensland delegation — including Prof. Andries Potgieter and Prof. Scott Chapman — visited the TUM Precision Agriculture Lab at the Dürnast Research Station to tour the wheat field phenotyping trials and discuss remote sensing for crop monitoring and modelling, and field protocols for agricultural remote sensing.

Photosynthetic traits are slow to measure by hand. In a new European Journal of Agronomy paper, we link UAV multispectral imagery to leaf physiology with a physics-informed machine learning framework — predicting CO₂ assimilation, stomatal conductance, photosystem II efficiency, biomass, and grain yield across winter wheat varieties.