BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Plone.org//NONSGML plone.app.event//EN
X-WR-TIMEZONE:Europe/Berlin
BEGIN:VEVENT
SUMMARY:Crop Yield Modelling Using Remote Sensing-based LUE Model
DTSTART:20250731T133000
DTEND:20250731T143000
DTSTAMP:20260413T225256Z
UID:de5763cc791b407dbddda5af4a99d70f@www.uni-bonn.de
CREATED:20250722T082658Z
DESCRIPTION:Presenter: Dr. rer. nat. Bikash Ranjan Parida\, Associate Prof
 essor and Head\, Department of Geoinformatics\, Central University of Jhar
 khand\, Ranchi\, India.\nAgriculture is key to India’s food and economic
  security. The fertile Indo-Gangetic Plain (IGP) plays a major role. Due t
 o population growth and climate change\, technologies for cropland monitor
 ing are increasingly important. Remote sensing\, especially SAR data and L
 UE-based models\, improve crop yield estimates. A case study in Chandauli 
 shows that ML algorithms like RF and XGBoost provide reliable food insecur
 ity maps—a method scalable across the IGP.
LAST-MODIFIED:20250722T093821Z
URL:https://www.uni-bonn.de/de/veranstaltungen/crop-yield-modelling-using-
 remote-sensing-based-lue-model
END:VEVENT
BEGIN:VTIMEZONE
TZID:Europe/Berlin
X-LIC-LOCATION:Europe/Berlin
BEGIN:DAYLIGHT
DTSTART:20250330T030000
TZNAME:CEST
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
END:DAYLIGHT
END:VTIMEZONE
END:VCALENDAR