Michael Anthony, Earth Analytics India
"Integrated risk management based on remote sensing data can greatly enhance efficiency of the food sector, avoid food loss and protect smallholder farmers"
Remote sensing is an important foundational element of resilient and inclusive food systems. It facilitates innovation and collaboration among several players to manage agricultural risk: insurers obtain a clear picture of risks and losses; farmers acquire data and tools to maximise yields and income and reduce risks; populations have better access to food; governments and societies are protected from severe shocks.
India has one of the largest agricultural insurance schemes in the world and many innovative and ambitious technology companies in the remote-sensing and agricultural technology sphere.
The remote sensing for food security track led to pilots in two Indian states. In Gujarat, remote sensing data is used to enhance the existing government-led insurance scheme PMFPY by assessing damages and informing farmers. In Odisha, agricultural advisory services are combined with access to credit, using satellite data to enhance the credit profile.
Remote sensing fills data gaps: Satellite and drone-based imagery and data analysis can identify which crops are grown where and how. It allows to predict crop yields and the spread of pests and diseases. Also, the data provides information about water availability and soil conditions, which helps to improve crop management. Remote sensing enables insurers to assess risk and loss, thus laying the foundations for insurance against agricultural and natural disasters. Furthermore, remote sensing is a cornerstone in precision agriculture, enabling data-led field management.
The remote sensing track brought together:
"Integrated risk management based on remote sensing data can greatly enhance efficiency of the food sector, avoid food loss and protect smallholder farmers"