MUMBAI, India, June 30 -- Intellectual Property India has published a patent application (202641074811 A) filed by Koneru Lakshmaiah Education Foundation Deemed To Be University on June 17, 2026, for Xai-Prescribeagri: An Explainable And Prescriptive Artificial Intelligence Framework For Interpretable Crop Yield Forecasting And Resource Optimization In Precision Agriculture.
Inventors include N. M Deepika; and Dr. K. Sreerama Murthy.
The application for the patent was published on June 26, 2026, under issue no. 26/2026.
Abstract: The present invention relates to an explainable and prescriptive artificial intelligence framework for interpretable crop yield forecasting and agricultural resource optimization in precision agriculture. The framework comprises an agricultural data acquisition module (110) configured to collect heterogeneous agricultural data from multiple agricultural information sources, a multi-source data harmonization engine (120) configured to standardize and integrate the acquired data, and a hybrid yield forecasting engine (130) configured to generate crop yield predictions and prediction confidence metrics. An explainability attribution engine (140) determines feature contribution scores associated with agricultural variables influencing forecast outcomes, while an explainability confidence validation engine (145) validates reliability of the generated attribution information.
Disclaimer: Curated by HT Syndication.
