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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| Format: | Case Study |
| Language: | Inglés |
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2017
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| Online Access: | https://hdl.handle.net/10568/121675 |
| _version_ | 1855525260375359488 |
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| author | CGIAR Research Program on Climate Change, Agriculture and Food Security |
| author_browse | CGIAR Research Program on Climate Change, Agriculture and Food Security |
| author_facet | CGIAR Research Program on Climate Change, Agriculture and Food Security |
| author_sort | CGIAR Research Program on Climate Change, Agriculture and Food Security |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | 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. |
| format | Case Study |
| id | CGSpace121675 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2017 |
| publishDateRange | 2017 |
| publishDateSort | 2017 |
| record_format | dspace |
| spelling | CGSpace1216752023-03-14T13:24:37Z Near-real time crop loss assessment for crop insurance in India CGIAR Research Program on Climate Change, Agriculture and Food Security 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 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. 2017-12-31 2022-09-12T12:02:16Z 2022-09-12T12:02:16Z Case Study https://hdl.handle.net/10568/121675 en Open Access application/pdf CGIAR Research Program on Climate Change, Agriculture and Food Security. 2017. Near-real time crop loss assessment for crop insurance in India. Reported in Climate Change, Agriculture and Food Security Annual Report 2017. Outcome Impact Case Report. |
| spellingShingle | 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 CGIAR Research Program on Climate Change, Agriculture and Food Security Near-real time crop loss assessment for crop insurance in India |
| title | Near-real time crop loss assessment for crop insurance in India |
| title_full | Near-real time crop loss assessment for crop insurance in India |
| title_fullStr | Near-real time crop loss assessment for crop insurance in India |
| title_full_unstemmed | Near-real time crop loss assessment for crop insurance in India |
| title_short | Near-real time crop loss assessment for crop insurance in India |
| title_sort | near real time crop loss assessment for crop insurance in india |
| topic | 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 |
| url | https://hdl.handle.net/10568/121675 |
| work_keys_str_mv | AT cgiarresearchprogramonclimatechangeagricultureandfoodsecurity nearrealtimecroplossassessmentforcropinsuranceinindia |