Crop Yield Modelling Using Remote Sensing-based LUE Model
Presenter: Dr. rer. nat. Bikash Ranjan Parida, Associate Professor and Head, Department of Geoinformatics, Central University of Jharkhand, Ranchi, India.
Agriculture is key to India’s food and economic security. The fertile Indo-Gangetic Plain (IGP) plays a major role. Due to population growth and climate change, technologies for cropland monitoring are increasingly important. Remote sensing, especially SAR data and LUE-based models, improve crop yield estimates. A case study in Chandauli shows that ML algorithms like RF and XGBoost provide reliable food insecurity maps—a method scalable across the IGP.
Agriculture is key to India’s food and economic security. The fertile Indo-Gangetic Plain (IGP) plays a major role. Due to population growth and climate change, technologies for cropland monitoring are increasingly important. Remote sensing, especially SAR data and LUE-based models, improve crop yield estimates. A case study in Chandauli shows that ML algorithms like RF and XGBoost provide reliable food insecurity maps—a method scalable across the IGP.
Time
Thursday, 31.07.25 - 01:30 PM
- 02:30 PM
Topic
Food Security
Target groups
All interested
Students
Researchers
Location
Genscherallee 3, 53113 Bonn (Konferenzraum Erdgeschoss)
Reservation
not required
Organizer
Zentrum für Entwicklungsforschung
Contact