Key Focus Areas
Agriculture
Geospatial technology is revolutionizing agriculture by integrating satellite imagery, UAV data, and AI-driven analytics to enhance productivity and resilience across the farming ecosystem. It enables precision farm advisory by providing real-time insights on crop health, irrigation, fertilizer, and pest management; supports farm lending by helping financial institutions assess land use, crop conditions, and credit risk through GIS-based monitoring; and strengthens farm insurance by enabling objective, satellite-based loss assessment for faster and more accurate claim settlements. Together, these applications create a data-driven agricultural ecosystem that empowers farmers, improves decision-making, and promotes sustainable farming practices.
Transportation & Infrastructure
The transportation and infrastructure sector is being reshaped by the power of geospatial intelligence, which provides the spatial foundation for smarter connectivity and efficient service delivery. By leveraging satellite imagery, GIS analytics, and real-time mapping, planners and industries can visualize transport networks, assess infrastructure gaps, and optimize mobility systems. In urban areas, accurate mapping enables on-time e-commerce deliveries, efficient routing, and higher earnings for delivery personnel. In rural regions, geospatial data—such as precise village boundaries and location intelligence—supports the growth of rural e-commerce and logistics networks, creating new delivery jobs and improving accessibility. From road planning and traffic management to asset monitoring and sustainable urban design, geospatial technology drives the creation of data-driven, connected, and future-ready infrastructure ecosystems.
Livelihoods & Skilling
Geospatial technology plays a transformative role in the Livelihoods and Skilling sector by connecting communities, markets, and opportunities through location intelligence. In rural livelihoods, geospatial platforms help map clusters of artisans, handicraft hubs, and self-help groups, enabling them to gain wider market access through digital mapping of production centers, logistics routes, and e-commerce linkages. By integrating geotagged data, local enterprises can showcase their products, connect with buyers, and participate in government or private supply chains. In urban livelihoods, location-based analytics support job mapping by linking blue, pink, and grey-collar workers to nearby employment opportunities, skilling centers, and welfare programs. Together, these applications foster inclusive growth by bridging the rural-urban divide and using geospatial intelligence to create equitable access to livelihood and skill development opportunities.
