The digital field: Integrating geospatial AI into India’s climate-resilient agriculture network

India’s food system faces escalating climate risks amidst a growing population and widespread smallholder farms.

- MEGHAN LEE HOWAT

This framework examines how geospatial AI—including satellite monitoring, climate risk mapping, and predictive analytics—can be seamlessly integrated into existing farmer networks to improve real-time knowledge dissemination and support scalable, climate-resilient agricultural practices across the country.

India’s vital agricultural sector supports nearly 50 percent of the nation’s population and is increasingly exposed to critical climate risks, including severe droughts, unseasonal floods, and massive pest outbreaks. While India has invested heavily in climate-resilient agriculture and foundational geospatial technologies, structural gaps remain between raw data generation and actionable use by smallholder farmers. Bridging this communication and information gap is absolutely critical to strengthening the country’s long-term adaptive capacity.

LEVERAGING THE EXTENSION INFRASTRUCTURE