Hailstorms induce large crop damages every year. Farmers can get hail insurance, but the adoption of this risk management tool remains relatively low due to the cost. Technology can improve the efficiency of the operational management of hail insurance products to help reduce costs and make the coverage more accessible for farmers. Weather data is needed to locate hailstorms and assess their intensity. However, the occurrence of an event doesn’t mean yields are impacted. Conversely, remote-sensing enabled crop monitoring services, especially using satellites, allow the detection of changes and measurement of vegetation anomalies. The purpose of our project is to combine these two data sources – weather models and satellite measurements – and leverage machine-learning and data science to create hail impact indices and evaluate their value for insurance companies and for farmers.
|Voucher||Business and Technology maturation|
|Type of proposal||Individual|