Sub Themes

1. 3.1

   Sub-theme 3.1: Artificial Intelligence (AI), Machine Learning & Data-Driven Agriculture

   • Machine learning for Yield forecasting, pest, disease, and weed, outbreak
   • Real-time soil health, water quality, crop health, and biodiversity monitoring
   • AI for crop maturity, quality assessment, post-harvest monitoring, and supply chain optimization
2. 3.2

   Sub-theme 3.2: Robotics, Drones, Automation & Precision Technologies

   • Autonomous weeding robots, robotic harvesting, drone-based seeding, pollination, and precision spraying
   • GPS-guided machineries; AI-powered systems
   • Robotic milking systems, automated feeding, poultry automation and Underwater drones
   • for fisheries management
3. 3.3

   Sub-theme 3.3: Traceability & Transparent Food Systems

   • Block chain for supply chain traceability
   • Authentication for Geographical Indications (GI) 
   • Reducing food adulteration, and illegal, unreported, and unregulated (IUU) fishing
   • Farm-to-fork and pond-to-plate digital passports for ecological and sustainable produce
4. 3.4

   Sub-theme 3.4: Digital Extension, Ecological Literacy & Inclusive Technology Access

   • Mobile-based advisory platforms and voice-based AI assistants 
   • IoT sensor networks and real-time data dashboards for farmers, fishers, and livestock keepers
   • Farmer-to-farmer, fisher-to-fisher, and livestock keeper digital learning networks
   • Citizen science platforms for biodiversity monitoring, water quality assessment, and ecological observation
5. 3.5

   Sub-theme 3.5: Ecological Monitoring, Geospatial Technologies & Environmental Intelligence

   • Satellite remote sensing, GIS, geospatial technologies and using drones, for land use and ecosystem monitoring
   • Climate change impact assessment, vulnerability mapping, and ecosystem service valuation
   • Geospatial intelligence for fisheries management, marine spatial planning, and coastal zone management