Workshop: BridgIng the Gap in Space and Time for global sustAinable crop nutRient management (BIGSTAR)


Date
Nov 6, 2025 12:00 AM β€” Nov 7, 2025 2:00 PM
Event
International Workshop

πŸ“ Venue

TUM Weihenstephan Campus
IGZW Conference Room (3rd Floor)
Gregor-Mendel-Str. 4, 85354 Freising, Germany


πŸ—“οΈ Day 1 – Thursday, 6 November 2025

TimeSessionSpeaker / Affiliation
13:00 – 13:10Opening and WelcomeProf. Kang Yu, Technical University of Munich
13:10 – 13:55Remote Sensing-based Precision Nitrogen Management: Recent Advances at University of MinnesotaProf. Yuxin Miao, Director, Precision Agriculture Center, University of Minnesota, USA
13:55 – 14:40Remote Sensing-based Crop N PredictionProf. Fei Li, College of Resources and Environmental Sciences, Inner Mongolia Agricultural University, China
14:40 – 15:15Farm Management Information Systems and Farming Technology Innovations for Crop ManagementProf. Heinz Bernhardt, Chair of Agricultural Systems Engineering, TUM, Germany
15:15 – 15:30β˜• Break
15:30 – 16:15Variable Rate Nutrient Work in Georgia, and Network with Faculty and StudentsDr. Leonardo M. Bastos, Institute for Integrative Precision Agriculture, University of Georgia, USA
16:15 – 17:00Technical Advances of UAV Remote Sensing for Crop SensingProf. Georg Bareth, Institute of Geography, University of Cologne, Germany
17:00 – 17:45Chlorophyll Fluorescence Quantification for Crop Stress Detection Using Airborne Hyperspectral ImageryProf. Pablo Zarco-Tejada, QuantaLab IAS-CSIC, Institute for Sustainable Agriculture, CSIC, Spain
17:45 – 18:30Discussion & NetworkingModerated by Prof. Kang Yu
18:30 – 21:00🍽️ Dinner at BrΓ€ustΓΌberl WeihenstephanInformal networking

πŸ—“οΈ Day 2 – Friday, 7 November 2025

TimeSessionSpeaker / Affiliation
08:00 – 08:45Leveraging Remote Sensing for Improving Crop Nitrogen Use Efficiency and Yield PredictionDr. Francisco Pinto Espinosa, Centre for Crop Systems Analysis, Wageningen University & Research, Netherlands
08:45 – 09:30Remote Sensing for Nutrient Management in Space and TimeDr. Frank Liebisch, Agroscope, Switzerland
09:30 – 10:15Satellite-Based Assessment of Yield Variability – A Basis for Developing Site-Specific Management Strategies in Nitrate-Polluted RegionsDr. Martin Mittermayer, Chair of Organic Agriculture and Agronomy, TUM, Germany
10:15 – 10:30β˜• Break
10:30 – 11:15Advances in Utilizing Farm Accountancy Data for the Analysis of Nitrogen Indicators in GermanyDr. Philip LΓΆw, ThΓΌnen Institute of Rural Studies, Germany
11:15 – 12:00Using Sensors in Precision Farming: If It Is Challenging for Researchers, Why Shouldn’t It Be for Farmers? Lessons from On-Farm ExperimentationProf. Francesco Morari, DAFNAE, University of Padova, Italy
12:00 – 12:45Adoption and Economics of Variable Rate TechnologyDr. Markus Gandorfer, Bavarian State Research Center for Agriculture (LfL), Germany
12:45 – 13:30TBDProf. **N.N **, University,
13:30 – 14:15Discussion and Concluding RemarksProf. Kang Yu, TUM

🌍 Organizers

Technical University of Munich (TUM)
Bavarian State Research Center for Agriculture (LfL)
Precision Agriculture Center, University of Minnesota


πŸ›°οΈ Themes

  • Remote sensing innovations for nitrogen monitoring and crop stress detection across scales.
  • UAV, sensor, and AI technologies advancing precision agriculture and yield prediction.
  • Data integration and digital farming systems, from modeling to farm management tools.
  • On-farm experimentation and adoption toward more sustainable nutrient management.

πŸ“ž Contact

Dr. Yuncai Hu
Precision Agriculture Lab, TUM
βœ‰οΈ yc.hu@tum.de
🌐 https://paglab.org/event/workshop-bigstar

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.

PD. Dr. Yuncai Hu
PD. Dr. Yuncai Hu
Senior Researcher

My research interests include Remote sensing, Precision N nutrient management, Plant phenotyping for complex traits of abiotic stress tolerance, Agricultural N emissions, and Physiological mechanisms of plant responses to abiotic stresses.