The proposed solution integrates GIS data, IoT sensors, and AI to provide real-time insights and recommendations. GIS data (NDVI, rainfall, soil type, water availability) combined with IoT sensors (NPK, moisture, temperature) offers actionable advice on crop selection, optimal planting times, and irrigation/fertilization schedules. AI-powered image analysis detects crop diseases and provides personalized treatment recommendations, minimizing losses.