MUMBAI, India, July 24 -- Intellectual Property India has published a patent application (202641085155 A) filed by Jntuh University College Of Engineering on July 11, 2026, for Intelligent Rainfall Forecasting With Ann-Based Predictive Modelling.
Inventors include Dr. K. Santhi Sree; N. Sunitha; Polimera Ramyasree; V. Nikhitha; A. Sravanthi; Akhila Reddy Vanga; S. Phanindra Kumar; and E. Enosh.
The application for the patent was published on July 17, 2026, under issue no. 29/2026.
Abstract: The present invention discloses an intelligent rainfall forecasting system employing Artificial Neural Network (ANN)-based predictive modelling for rainfall prediction using meteorological parameters. The system comprises a Data Acquisition Module configured to collect Day of Year, temperature, minimum temperature, humidity, and wind speed data, a Data Cleaning and Preprocessing Module configured to perform data cleaning, feature scaling, and dataset preparation, a Feature Selection Module configured to identify relevant meteorological attributes, an ANN Prediction Module configured with input, hidden, and output layers for rainfall classification, a Rainfall Prediction Module configured to classify rainfall occurrence as Rain or No Rain using probability values, and a User Interface Module configured for manual parameter entry, batch prediction through CSV file upload, real-time prediction display, and downloadable prediction results. The integrated forecasting framework automatically learns complex meteorological relationships and generates reliable rainfall predictions suitable for agricultural planning, environmental monitoring, weather forecasting, water resource management, and disaster preparedness.
Disclaimer: Curated by HT Syndication.
