Satellite farming boosting Nitrogen Use Efficiency from Space

Tractor doing variable rate fertilization at BBCH39

πŸ›°οΈπŸŒ± Boosting Nitrogen Use Efficiency from Space πŸŒ±πŸ›°

From ground to sky β€” our satellite remote sensing projects (GreenWindows, LiveSen-MAP, PHENET) are paving the way for precision nitrogen fertilization!πŸšœπŸ“‘

Satellite pixel map of Chl and water content
By integrating high-resolution satellite imagery with field data and machine learning models, we’re developing tools to detect spatial variability in plant nitrogen needs, optimize inputs, and reduce environmental impacts.

With every pixel, we’re getting closer to smarter, greener farming.

Stay tuned as we transform satellite data into better yields. πŸ’‘πŸŒΎ #SatelliteAg #PrecisionFarming #NitrogenUseEfficiency #RemoteSensing #SustainableAgriculture #AgTech #TUMAgricultureResearch #SmartFertilization #PagLab

Dong Bai
Dong Bai
PhD student

My research interests include precision agriculture and Artificial Intelligence.

Xuefeng Xu
Xuefeng Xu
PhD student

My research interests include Ecological and Agricultural Remote sensing, specifically foocus on Vegetation Indices(VIs) and crop traits retrieval. As well I’m interested in grassland classification and deep learning techniques.

Dr. Dong Li
Dr. Dong Li
Research Scientist

My research interests include vegetation remote sensing and precision agriculture.

Prof. Dr. Kang Yu
Prof. Dr. Kang Yu
Professor of Precision Agriculture

My research interests include precision crop farming, hyperspectral remote sensing, and AI in agriculture.