Intellectual Property India Publishes Patent Application for Hybrid Deep Learning Framework For Early Forest Fire Risk Prediction Using Cnn-Lstm And Environmental Data Fusion

MUMBAI, India, July 7 -- Intellectual Property India has published a patent application (202641063686 A) filed by Nandha Engineering College on May 20, 2026, for Hybrid Deep Learning Framework For Early Forest Fire Risk Prediction Using Cnn-Lstm And Environmental Data Fusion.

Inventors include S. Pranesh; Deepu Kumar Ram; and Dr. S. Devi.

The application for the patent was published on July 03, 2026, under issue no. 27/2026.

Abstract: The present invention discloses a hybrid deep learning framework for early forest fire risk prediction using Convolutional Neural Networks (CNN), Long Short-Term Memory (LSTM) networks, and environmental data fusion techniques. The system integrates multi-modal data sources including satellite imagery, loT-...