TUM–NAU SmartAg Seminar 2025


Date
Jun 27, 2025 12:30 PM — 6:00 PM

🛰️ TUM–NAU Smart Agriculture Seminar 🌱

We are pleased to announce an international seminar jointly organized by the Technical University of Munich (TUM) and Nanjing Agricultural University (NAU) on the topic:

Remote Sensing and Data-Driven Methods for Smart Agriculture 🚁🛰️

📅 Date: June 27, 2025
📍 Location: Online & In-person (TUM Dürnast Research Station)
🎯 Focus Topics:

  • UAV- and satellite-based monitoring of crop traits
  • Machine learning for agricultural decision-making
  • Modeling plant-soil interactions for precision farming

This event fosters scientific exchange on the integration of remote sensing technologies and modeling tools to advance crop and soil monitoring, and smart and sustainable farming practices 🚜. Researchers, students, and professionals from both institutions will share their latest work and explore new collaborations.

Stay tuned for more updates and program details!

Organizers: Prof. Qiang Cao, Prof. Kang Yu

Seminar Schedule (⏳ Loading…)

TimeSpeakerTopic
12:45Welcome and Introduction
13:00Yue LiOptimizing nitrogen management strategies for sustainable wheat production in China
13:30Tingxuan ZhuangEnhancing winter wheat water status diagnosis using allometry of saturated water accumulation and dry mass
14:00Dr. Jiaoyang HeImpact of panicles on growth parameter monitoring and radiative transfer modeling investigating panicle-leaf integrated canopy
14:30Dr. Rui DongEarly maize lodging risk prediction based on multi-source data fusion by integrating proximal sensing, crop growth modeling and machine learning
—–30 min Coffee Break
15:30Dr. A BelwalkarEvaluating SIF Retrievals from Narrow-Band Aerial Imaging Sensors: Toward Seasonal Monitoring of Leaf Nitrogen Content
16:00Ali MokhtariEvapotranspiration Modeling Using Optical Satellite Data for Precision Farming
16:30tbd
17:00tbd
17:30Discussion & Close
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.