MUMBAI, India, May 29 -- Intellectual Property India has published a patent application (202641061596 A) filed by R. M. K. Engineering College, Chennai, Tamil Nadu, on May 14, for 'machine learning based intelligent weather prediction system using real time atmospheric and environmental data analytics.'
Inventor(s) include Mr Vel Murugesh Kumar N.
The application for the patent was published on May 29, under issue no. 22/2026.
According to the abstract released by the Intellectual Property India: "The present invention discloses a Machine Learning Based Intelligent Weather Prediction System Using Real Time Atmospheric and Environmental Data Analytics. The system integrates environmental sensors, IoT communication technologies, cloud computing platforms, and machine learning algorithms to provide accurate weather forecasting and environmental monitoring. Real time atmospheric data including temperature, humidity, rainfall, pressure, wind speed, solar radiation, and air quality information are collected and processed using intelligent predictive models such as Random Forest, Support Vector Machine, Artificial Neural Networks, and Long Short Term Memory networks. The system continuously learns from historical and real time environmental data to improve forecasting accuracy. The invention further includes alert generation modules for disaster warnings and graphical user interfaces for remote monitoring. The proposed system supports applications in smart agriculture, renewable energy management, transportation safety, disaster prevention, environmental monitoring, and smart city infrastructure while providing scalable, adaptive, and cost effective weather prediction capabilities."
Disclaimer: Curated by HT Syndication.
