AI adoption still below 20% as Indian farms look to smart tech for higher yields

Less than 20 per cent of Indian farmers currently use digital technologies, leaving a large gap between AI potential and real‑world adoption. ## Adoption Gap The low uptake stems from rising input costs, climate uncertainty and pressure on productivity, making efficient decision‑making critical. ## AI Applications AI tools can analyse soil samples, sensor data, satellite images and field photos to spot nutrient deficiencies and guide precise fertilizer use. AI‑based weather forecasts process vast climate records to give local rain and monsoon predictions, helping farmers brace for heatwaves or heavy rains. Image‑recognition apps detect early pest or disease signs, reducing unnecessary pesticide applications and crop loss. Drones and satellites map field growth variations while ground sensors monitor moisture, feeding AI systems that pinpoint where intervention is needed. ## Support & Education Governments, agricultural institutions, tech firms, universities, non‑profit groups and farmer organisations are urged to run digital‑literacy drives, village demonstrations, soil‑testing camps and hands‑on training so farmers can understand and use the tools. ## Context AI is moving from labs to fields, offering a partnership between traditional farmer knowledge and modern data‑driven insights that could make Indian agriculture more productive, resilient and profitable.