PrecisionAg Lab contributes to educating experts in agricultural production systems

Hany El Sharawy, Xuefeng Xu
Last updated on Sep 19, 2023 1 min read Fieldwork, Education
Hany and Xuefeng operating a drone

Our PrecisionAg Lab proudly contributes to the M.Sc. Agricultural Systems Sciences program at TUM, which prepares the next generation of experts in sustainable agricultural production systems. This interdisciplinary program investigates the complex interplay between soil, crops, livestock, technology, the environment, and society.

In this featured image, our lab members prepared a UAV drone equipped with a multispectral sensor ā€” a key tool in our research on precision agriculture and plant phenotyping. We integrate this aerial technology into our teaching by combining:

  • šŸšļø Drone-based remote sensing workflows
  • šŸ’» Data analysis using AI and geospatial tools
  • šŸŒ¾ Field-based agronomic applications
  • šŸŽ“ Research-driven teaching modules

Students gain hands-on experience collecting and analyzing high-resolution imagery to understand field spatial variability, plant and soil health, and landscape characteristics and dynamics.

Drone Remote Sensing Smart Farming Technologies Agricultural Systems
Hany El Sharawy
Hany El Sharawy
PhD Student

My research focuses on UAV-based phenotyping, hyperspectral remote sensing, and high-throughput phenotyping of maize under drought conditions.

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 Iā€™m interested in grassland classification and deep learning techniques.