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Case Study

GeoAI-Enabled Crop Intelligence for Food Security and Public Trust

Public agricultural procurement programs support millions of farmers and play a critical role in ensuring food security. SPARC developed a GeoAI-assisted crop validation platform that integrates satellite imagery, GIS, artificial intelligence, cadastral land records, and farmer registration data to verify paddy cultivation at the parcel level.

Challenge

Verifying whether procured paddy was actually cultivated on eligible farmland has traditionally relied on manual inspections, fragmented records, and time-consuming field verification. These approaches are resource-intensive, susceptible to errors, and often delay procurement while increasing the risk of ineligible claims.

Solution

SPARC developed an innovative GeoAI-assisted crop validation platform that integrates satellite imagery, GIS, artificial intelligence, cadastral land records, and farmer registration data to verify paddy cultivation at the parcel level. Automated analytics identify cultivated fields, estimate crop extent, and validate procurement eligibility through transparent, evidence-based workflows. The platform provides decision-makers with intuitive dashboards, spatial analytics, and auditable digital records that significantly reduce manual effort while improving consistency and accountability.

Results

The solution has transformed agricultural procurement by enabling faster, more transparent, and data-driven verification of crop claims. It has strengthened governance, minimized fraudulent procurement, improved operational efficiency, and enhanced confidence among farmers, administrators, and policymakers. Beyond paddy procurement, the platform establishes a scalable GeoAI framework that can be adapted for crop insurance, agricultural subsidies, disaster assessment, climate resilience, and sustainable agricultural planning across diverse geographies.

Highlights & Impact

  • Cadastral level Geo-AI based crop validation for about 240,000 sq.km covering 20 million+ plots reported by millions of farmers over different crop seasons in Odisha (India).
  • The platform has detected and avoided fraudulent procurement claims of about USD 1.2 billion over the past 5 years.
  • The initiative has received many accolades including Global Planet Purpose Award for Transparency to Action in 2023.
  • AI-driven, evidence-based crop verification with reduced manual inspections.
  • Improved transparency, auditability, faster procurement, and lower operational costs.
  • Scalable to millions of land parcels; applicable across multiple crops and geographies.

Technology Used

  • GeoAI (Geospatial Artificial Intelligence)
  • Geographic Information Systems (GIS) & WebGIS Platform
  • Satellite Remote Sensing
  • Machine Learning & Computer Vision
  • Parcel-Level Crop Classification & Spatial Analytics
  • Cadastral & Land Records Integration
  • Cloud-based Geospatial Data Processing
  • Enterprise Dashboards & API-based System Integration