Application note: Crop-loss assessment monitor – A multi-model and multi-stage decision support system
Real-time knowledge about crop growth conditions is critical to make decisions about risk management and food security planning. Several crop forecasting decision support systems (DSSs) are available which use crop models, remote sensing, weather derivatives or statistical modelling. The results fro...
| Main Authors: | , , , , , , , |
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| Format: | Journal Article |
| Language: | Inglés |
| Published: |
Elsevier
2020
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10568/108864 |
| _version_ | 1855532452329553920 |
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| author | Aggarwal, Pramod K. Shirsath, Paresh Bhaskar Vyas, Shalika Arumugam, Ponraj Goroshi, Sheshakumar Aravind, S Nagpal, Mansi Chanana, Madhur |
| author_browse | Aggarwal, Pramod K. Aravind, S Arumugam, Ponraj Chanana, Madhur Goroshi, Sheshakumar Nagpal, Mansi Shirsath, Paresh Bhaskar Vyas, Shalika |
| author_facet | Aggarwal, Pramod K. Shirsath, Paresh Bhaskar Vyas, Shalika Arumugam, Ponraj Goroshi, Sheshakumar Aravind, S Nagpal, Mansi Chanana, Madhur |
| author_sort | Aggarwal, Pramod K. |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | Real-time knowledge about crop growth conditions is critical to make decisions about risk management and food security planning. Several crop forecasting decision support systems (DSSs) are available which use crop models, remote sensing, weather derivatives or statistical modelling. The results from such DSS are conditioned to the goodness of the model used and the assumptions made. This paper describes a web-based DSS– Crop-loss Assessment Monitor (CAM) for real-time crop growth monitoring, loss estimation, and insurance analytics using different methods at multiple times during the crop growth for rice, wheat, maize, soybean, pearl millet, sorghum, and groundnut. The core of CAM comprises of a set of databases and system-analysis components. Its modular design allows customization for different countries and policy scenarios. The potential of CAM in monitoring crop yield losses is illustrated for soybean crop in India. |
| format | Journal Article |
| id | CGSpace108864 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2020 |
| publishDateRange | 2020 |
| publishDateSort | 2020 |
| publisher | Elsevier |
| publisherStr | Elsevier |
| record_format | dspace |
| spelling | CGSpace1088642024-05-01T08:18:32Z Application note: Crop-loss assessment monitor – A multi-model and multi-stage decision support system Aggarwal, Pramod K. Shirsath, Paresh Bhaskar Vyas, Shalika Arumugam, Ponraj Goroshi, Sheshakumar Aravind, S Nagpal, Mansi Chanana, Madhur food security climate change agriculture Real-time knowledge about crop growth conditions is critical to make decisions about risk management and food security planning. Several crop forecasting decision support systems (DSSs) are available which use crop models, remote sensing, weather derivatives or statistical modelling. The results from such DSS are conditioned to the goodness of the model used and the assumptions made. This paper describes a web-based DSS– Crop-loss Assessment Monitor (CAM) for real-time crop growth monitoring, loss estimation, and insurance analytics using different methods at multiple times during the crop growth for rice, wheat, maize, soybean, pearl millet, sorghum, and groundnut. The core of CAM comprises of a set of databases and system-analysis components. Its modular design allows customization for different countries and policy scenarios. The potential of CAM in monitoring crop yield losses is illustrated for soybean crop in India. 2020-08 2020-07-23T16:18:18Z 2020-07-23T16:18:18Z Journal Article https://hdl.handle.net/10568/108864 en Open Access Elsevier Aggarwal P, Shirsath P, Vyas S, Arumugam P, Goroshi S, Aravind S, Nagpal M, Chanana M. 2020 Application note: Crop-loss assessment monitor – A multi-model and multi-stage decision support system. Computers and Electronics in Agriculture 175:105619. |
| spellingShingle | food security climate change agriculture Aggarwal, Pramod K. Shirsath, Paresh Bhaskar Vyas, Shalika Arumugam, Ponraj Goroshi, Sheshakumar Aravind, S Nagpal, Mansi Chanana, Madhur Application note: Crop-loss assessment monitor – A multi-model and multi-stage decision support system |
| title | Application note: Crop-loss assessment monitor – A multi-model and multi-stage decision support system |
| title_full | Application note: Crop-loss assessment monitor – A multi-model and multi-stage decision support system |
| title_fullStr | Application note: Crop-loss assessment monitor – A multi-model and multi-stage decision support system |
| title_full_unstemmed | Application note: Crop-loss assessment monitor – A multi-model and multi-stage decision support system |
| title_short | Application note: Crop-loss assessment monitor – A multi-model and multi-stage decision support system |
| title_sort | application note crop loss assessment monitor a multi model and multi stage decision support system |
| topic | food security climate change agriculture |
| url | https://hdl.handle.net/10568/108864 |
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