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Application note: crop-loss assessment monitor – A multi-model and multi-stage decision support system

Author: Aggarwal, P.K.
Author: Shirsath, P.B.
Author: Vyas, S.
Author: Arumugam, P.
Author: Goroshi, S.
Author: Aravind, S.
Author: Nagpal, M.
Author: Chanana, M.
Year: 2020
ISSN: 0168-1699 (Print)
Format: PDF
Language: English
Publisher: Elsevier
Copyright: CIMMYT manages Intellectual Assets as International Public Goods. The user is free to download, print, store and share this work. In case you want to translate or create any other derivative work and share or distribute such translation/derivative work, please contact indicating the work you want to use and the kind of use you intend; CIMMYT will contact you with the suitable license for that purpose.
Type: Article
Place of Publication: Amsterdam (Netherlands)
Issue: art. 105619
Volume: 175
DOI: 10.1016/j.compag.2020.105619
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.
Related Datasets:
Journal: Computers and Electronics in Agriculture

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  • Socioeconomics
    Including topics such as farming systems, markets, impact & targeting, innovations, and GIS

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