MUMBAI, India, Oct. 5 -- Intellectual Property India has published a patent application (202631052442 A) filed by Ipfc-Giet University Cell on April 24, 2026, for System And Method For Crop Yield Prediction And Agricultural Decision Support.
Inventors include P Shyam Prasad Patnaik; Soumya Ranjan Mahanna; Kunal Kumar Mahato; Prayakti Panda; Korada Chandini; Suman Rani Gouda; Murali Krishna Senapaty; and Tirupati Sahu.
The application for the patent was published on October 02, 2026, under issue no. 40/2026.
Abstract: ABSTRACT SYSTEM AND METHOD FOR CROP YIELD PREDICTION AND AGRICULTURAL DECISION SUPPORT 5 10 15 A method (200) for crop yield prediction and agricultural decision support, comprises collecting (202), by a data acquisition module (102), agricultural data from multiple sources including soil parameters, weather data, crop information, irrigation data, fertilizer usage data, pest and disease indicators, satellite imagery, and IoT sensor data; preprocessing (204), by a preprocessing module (104), the collected data to remove noise and handle missing values; extracting (206), by a feature extraction module (106), relevant features; selecting (208), by a feature selection module (108), influential parameters affecting crop yield; analyzing (210), by a hybrid artificial intelligence module (110) comprising machine learning and deep learning models, the selected features to generate crop yield predictions; combining (212), by an ensemble module (112), outputs from multiple models; generating (214), by a decision support module (114), yield predictions and recommendations; and providing (216), by a user interface module (116), alerts and recommendations to users.
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