Page 234 - India Insurance Report 2023- BIMTECH
P. 234

222                                                             India Insurance Report - Series II



            satellites offer some relief from cloudiness, their data are harder to interpret, limiting their use
            for monitoring and modelling crop health and crop yields.

            The latest generation of geostationary satellites offers data that are very similar to widely used polar
            orbiting sensors such as MODIS. However, the 10-minute frequency at which geostationary satellites
            observe the Earth provides several opportunities for observing extreme weather and collecting cloud-
            free observations that could be used in crop health and crop yield modelling.
            It is conceivable that one can put together a library of 10-minute geostationary data for the entire
            India that could be mined for extreme weather events such as hailstorms, dust storms, windstorms,
            and extreme cold/hot temperatures. One can track the locations, spatial extent, and duration of
            such events, ultimately leading to better handling of mid-season perils.

        A  practical and ongoing example of extensive use of satellite data for implementing Crop Insurance Solutions
        in India

        Bangla Shasya Bima (BSB) – a Transformative 100% Tech-based Insurance for West Bengal

            The scheme, the first of its kind in the country, is being implemented from the 2020 crop season in
        West Bengal and has been running quite successfully during the last three years, covering nine seasons
        which has witnessed three cyclones, heavy unseasonal rains, severe dry spell in the early part of rice
        season, etc.   A  transformative  crop insurance  solution  replacing  the conventional  ‘Area-yield
        approach’ with the ‘Area-  crop performance/crop health approach’, a 100% technology-driven
        solution. A composite index called the Crop Health Factor (CHF) represents crop performance by
        incorporating multiple physical and biophysical parameters related to crop health. It is a quantitative
        measure of crop health and overall performance during the season.

            CHF deviation from the past year’s average CHF values for each Insurance Unit (village and village
        panchayats) decides the crop loss and insurance pay-out in the current season. All the widespread major
        perils that affect an Insurance Unit, viz. prevented sowing, failed germination or transplanting, mid-
        season adversities, and end-of-the-crop seasons risks due to hailstorms, floods, drought/ dry spells and
        cyclones have been accounted for in the crop performance.

            Advantages of such technology-based crop insurance solutions are manifold, viz. elimination of
        moral hazard of local human influence, a substantial reduction in the cost of insurance, transparency
        and objectivity in the process, faster payment of claims, etc.

            As soon as the CHF for the current season is ready, the same is shared on the dashboard for access
        of all the stakeholders, including State administration at State and District level. In case of any localized
        calamity, the ground truthing is intensified, and a geo-referenced crop surveillance report is obtained.
        Specific protocols are devised to account for such localized losses.

            Tech-based solutions are transparent, free from manual intervention and very quick. Under the
        BSB Scheme, farmers of West Bengal received claims directly in their bank account within 3 to 6 weeks
        of losses, and it has happened several times over the last three years, particularly after the cyclones when
        the farmers needed the pay-outs quickly for an alternative economic activity.
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