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Near-real time crop loss assessment for crop insurance in India

CCAFS has developed a system-analytical tool (Crop-Loss Assessment Monitor (CAM)), which integrates crop growth simulation models, Geographic Information System (GIS), spatial weather data, and remote sensing for crop growth monitoring and yield losses occurring due to extreme events. The results in...

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Main Author: CGIAR Research Program on Climate Change, Agriculture and Food Security
Format: Case Study
Language:Inglés
Published: 2017
Subjects:
models
monitoring
remote sensing
stakeholders
simulation models
assessment
growth
data
gis
insurance
information
simulation
design
weather
losses
yield losses
crop insurance
weather data
companies
time
events
system
case studies
agrifood systems
rural development
Online Access:https://hdl.handle.net/10568/121675
Summary:CCAFS has developed a system-analytical tool (Crop-Loss Assessment Monitor (CAM)), which integrates crop growth simulation models, Geographic Information System (GIS), spatial weather data, and remote sensing for crop growth monitoring and yield losses occurring due to extreme events. The results indicate the wide applicability of CAM tool for policy design, increasing efficacy and effectiveness of crop insurance programs at the sub-national level. Many insurance companies and other stakeholders have shown a keen interest in using this tool.

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