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AI in Agriculture






๐Ÿ“Œ Topic 04 of 6 ยท Chapter 06 ยท AI & Robotics

AI in Agriculture โ€” Precision Farming

Precision farming, crop disease detection, yield prediction, drone spraying โ€” complete notes for UPSC & PSC exams.

๐ŸŒพ AI Applications in Agriculture

  • Precision Farming โ€” AI analyses soil data, weather, satellite imagery to optimise farming decisions (when to irrigate, how much fertilizer)
  • Crop Disease Detection โ€” AI apps identify plant diseases from photos; farmers can get instant diagnosis
  • Yield Prediction โ€” AI predicts crop yields using satellite data, weather forecasts, historical data
  • Drone Spraying โ€” AI-guided drones for targeted pesticide/fertilizer application; reduces waste
  • Soil Analysis โ€” AI analyses soil health data; recommends fertilizers
  • Market Price Prediction โ€” AI predicts crop prices; helps farmers decide when to sell
  • Irrigation Management โ€” AI-controlled drip irrigation; reduces water waste

๐ŸŒพ Key AI Agriculture Initiatives in India

  • Kisan AI โ€” government initiative for AI-based agricultural advisory to farmers
  • Digital Agriculture Mission โ€” India’s framework for digital transformation of agriculture
  • Microsoft AI Sowing App (Andhra Pradesh) โ€” AI recommends optimal sowing dates; increased yields by 30%
  • IBM Watson Decision Platform โ€” weather and crop analytics for Indian farmers
  • IFFCO Nano Urea โ€” AI-optimised nano-fertilizer; reduces urea consumption
โญ Key Facts:
โ€ข Precision farming = AI + satellite + sensors = optimise farming decisions
โ€ข Kisan AI = government initiative = AI advisory for farmers
โ€ข Drone spraying = targeted pesticide = reduces waste = AI-guided
โ€ข India = 140 million farming households = AI can transform agriculture
โ€ข Digital Agriculture Mission = India’s framework for agri-tech