Agriculture is the Cornerstone of Indian Economy offering livelihood to nearly half of India’s population and contributing about 18% to GDP.
Key Applications of AI in Agriculture
- Soil Health Diagnostics: Using deep learning by analysing signals from satellite images, drone observations, etc.
- Climate-Responsive Crop Monitoring and Advisory Services: Analyses weather and climate data to predict changing rainfall patterns, temperature variations, etc.
- Farm Mechanisation Efficiency: AI-based systems offer round-the-clock surveillance of high-value crops reducing labour dependency, optimised input use, etc.
- Improving Price Realisation for Farmers: AI-driven predictive analytics leverage large datasets from platforms like e-NAM, AGMARKET, etc., to assess price movements.
- Enabling Precision Farming: Transforms data from GPS, sensors, satellites, and drones into actionable farm-level insights, offering advisory at localised levels.
Initiatives to promote AI Driven Agriculture
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