Miller Magazine Issue: 130 October 2020

76 MILLER / OCtOber 2020 Web-based Crop-loss AssessmentMonitor(CAM) for real-time crop growth monitoring, loss estimation and insurance analytics uses 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 data bases and system-analysis components. It could help improve loss assessment and make crop insurance more efficient. Its modular design allows customization for different countries and policy scenarios. Crop-loss Assessment Monitor: A multi-model and multistage decision support system Farming has often been quoted as one of the noblest professions, shouldering the responsibility of feeding the world; yet it has been globally iden- tified as one of the most perilous industries associ- ated with a high vulnerability rate. Crop insurance has been established worldwide to provide social protection to farmers and reduce their vulnerabi- lity. While the emergence of crop insurance sche- mes around the world indicates commitment to secure the livelihoods of farmers, they often lack accurate seasonal crop growth monitoring and timely yield loss estimation, making the authenti- cation of crop insurance claims more challenging. Crop loss assessments are often done via crop cutting experiments (CCEs). However, these can suffer from human error and moral hazard. The experiments also require signifi- cant capital and human resources, and need to be carried out simultaneously, in a limited peri- od of time. This often leads to inadequate and delayed claim payment, high premium rates,