Congratulations young researchers Jingcheng Zhang and co-authors from TUM Precision Agriculture on their new publications who investigated the potential of hyperspectral reflectance to estimate leaf maximum carboxylation capacity (Vcmax), a key physiological indicator of photosynthetic performance,… [weiterlesen]

Congratulations to Xuefeng Xu and co-authors on their new publication, “Satellite Monitoring of Crop Traits for Detecting Nitrogen Deficiency at Critical Nitrogen Fertilization Windows,” in the European Journal of Agronomy. https://doi.org/10.1016/j.eja.2026.128314 [weiterlesen]

AI and UAVs for smarter wheat phenotyping: Congratulations Jingcheng and Prof. Kang for their publication on European Journal of Agronomy. The intensive research on the wheat field by the team was based on the predicting crop photosynthetic traits from UAV imagery through physics-informed machine… [weiterlesen]

Data-driven prediction of wheat yield and grain quality , to follow in details: 10.1016/j.compag.2026.112295 [weiterlesen]

Drones Images provide new insights into belowground biodiversity in urban gardens, full article https://doi.org/10.1016/j.ecolind.2026.115283 [weiterlesen]

Congratulations Jie Wang and co authors. Our researchers, in collaboration with internal and external scientists, have recently published a new study demonstrating how UAV-based multispectral imagery can be transformed into detailed hyperspectral information using a combination of deep learning and… [weiterlesen]

A simple chlorophyll-based model for monitoring global photosynthesis. Full details https://doi.org/10.1016/j.rse.2026.115468 [weiterlesen]

Congratulations to Falv, Jingcheng and collaborators for the joint effort for the publication “Characterization of N variations in different organs of winter wheat and mapping NUE using low altitude UAV-based remote sensing”. Precision Agriculture 26: 40.… [weiterlesen]

Congratulations to Yuzhe on the new publication “NTRI: A novel spectral index for developing a precise nitrogen diagnosis model across pre- and post-anthesis stages of maize plants”. Link to paper [weiterlesen]