Forest fire detection and prediction using Internet of things
Forest fires pose a serious threat to ecologically sound forests and environmental protection Also, loss of life and considerable natural individual properties, adding hundreds of houses and thousands of hectares of wilderness 80% of fire-related costs could have been avoided if the fire had been discovered sooner. Forest fires become worse and can be detected and forecast with IoT-based NodeMCU. The study is an honest attempt to comprehend the current system, studying various factors affecting forest fires. We tried to make it smarter with thehelp of IoT technology by linking the entire monitoring process to a cloud server. It has been utilized to identify forestfires in extensive surveys. The goal of this research is to look into the losses and damage caused by wildfires, both natural and human-induced and fire detection techniques. The major goal of this research is to anticipate how a firewill progress by monitoring temperature, humidity, and other factors.