AI-Powered Forest Fire Detection and Prediction System Using Multi-Sensor IoT and Deep Learning
An integrated AI-powered forest fire detection and prediction system that combines a ground-based wireless sensor network for early smoke and thermal anomaly detection, a deep learning-based fire risk prediction model that forecasts fire probability up to 72 hours in advance using meteorological and vegetation moisture data, and a real-time alert dissemination pipeline for forest department response coordination is presented.