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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.
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
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