AI for Agricultural Yield Prediction
Problem and implemented solution
Farmers in India face uncertainty in predicting crop yields due to varying climatic conditions and soil fertility. The solution leverages AI algorithms to analyze historical weather patterns, soil data, and crop growth cycles to provide farmers with precise yield predictions, helping them make informed decisions.
Nomination
Artificial Intelligence And Digital Services
Topic
Artificial intelligence
Estimated duration of implementation
2 years
Implementation geography
Pilot regions include Maharashtra, Punjab, and Uttar Pradesh.
Description of competitive advantages
Unlike traditional methods that rely solely on manual data inputs, this AI solution uses real-time satellite data and local climate conditions, ensuring greater accuracy and reducing reliance on external expert inputs.
List of awards and prizes, media articles about the organization/individual or the Practice
N.A.
List of scientific works and IP connected with the Practice
N.A.
