MUMBAI, India, July 24 -- Intellectual Property India has published a patent application (202641085424 A) filed by Vellore Institute Of Technology on July 13, 2026, for A District-Level Ai System For Crop Recommendation And Probabilistic Agricultural Price Forecasting.
Inventors include Dr. R. Manjula; and Thanya.
The application for the patent was published on July 17, 2026, under issue no. 29/2026.
Abstract: ABSTRACT The present invention relates to a district-aware agricultural decision support system (100) configured for integrating probabilistic crop price forecasting and crop recommendation within a unified analytical framework. The system (100) comprises a data collection module configured to acquire agricultural datasets including historical commodity price data, soil characteristics, weather information, and crop yield statistics. A data preprocessing module performs temporal alignment, sequence generation, and dataset integration. A Multi-Task Temporal Representation Network processes the datasets through embedding layers, Temporal Convolution Networks, attention mechanisms, and multi-head quantile regression layers for generating probabilistic agricultural price forecasts. An inference framework processes probabilistic outputs for generating crop recommendation data and agricultural market intelligence outputs. A decision support system generates integrated outputs comprising probabilistic price intervals and ranked crop recommendation information using district-level temporal agricultural intelligence processing.
Disclaimer: Curated by HT Syndication.
