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Databy Federal Government of Nigeria (Presidential Food Systems Coordinating Unit), in partnership with OCP Africa and Ground Truth Analytics
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National Agro-Productivity System (NAPS)

Free

Satellite and AI-powered national crop monitoring platform for food security and agricultural intelligence

NAPS is Nigeria's first satellite and AI-powered national crop monitoring platform, launched through a Memorandum of Understanding between Nigeria's Federal Government and Morocco's OCP Africa and Ground Truth Analytics. The system provides real-time, AI-generated intelligence on crop yields, land availability, and food security threats across agricultural lands. It uses satellite imagery (refreshed every five days) to automatically delineate agricultural parcels, identify crops, and track growth stages without manual field mapping. The platform aims to bridge the gap between farmers' planting declarations and actual production outcomes, providing federal and state governments with actionable data for evidence-based agricultural planning, investment decisions, and trade policy coordination. Implementation will roll out across 15 priority states in three phases, with all data hosted on Nigerian servers under government control.

Who it's for

Government agenciesAgricultural policymakersState-level administratorsFederal and local government plannersFood security planners

Use it for

  • — Real-time crop monitoring across multiple states
  • — Early detection of crop stress and yield prediction
  • — Validation of farmer crop declarations for policy planning
  • — Food security threat assessment and early warning
  • — Agricultural investment and productivity planning
  • — Land-cover mapping and agricultural land assessment
  • — Supply chain visibility for domestic production, reserves, imports, and exports

Get the most out of it

  1. 01Implementation follows a phased approach starting with one pilot state before expanding to three states with full intelligence, then multi-season monitoring across all 15 priority states—prioritize pilot state adoption to maximize learnings
  2. 02Coordinate with state-level agricultural authorities and governors' forums for seamless integration into existing planning frameworks
  3. 03Leverage the 90-95% accuracy in production forecasting (demonstrated by the technology in Morocco) for strategic food reserve management and import/export decisions 3-4 months before harvest
  4. 04Ensure local expertise development through knowledge transfer and institutional capacity building, not just technology deployment, to sustain the system long-term
  5. 05Use satellite refresh cycles (every five days) to monitor in-season crop development and trigger timely policy interventions for emerging food security risks
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