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AI in Agriculture






πŸ“Œ Topic 04 of 6 Β· Chapter 06 Β· AI & Robotics

AI in Agriculture β€” Precision Farming

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

🌾 AI Applications in Agriculture

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

🌾 Key AI Agriculture Initiatives in India

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