Forest Fire Detection and Prediction Using HSV and MLP

Enormous fires are devastating homes and ecosystems across the globe. Detection and prevention of wildfires at an early stage are essential for their containment. Based on the Environmental Census of India, a total of 42,799 wildfire sites were reported across the nation between March 1 and March 12, 2023. (FSI). Our initiative uses cutting-edge AI techniques to detect wildfires considerably earlier than conventional systems. We believe, however, that artificial intelligence algorithms can automate these tasks. The equipment will use information from IoT devices, satellite data, data from people who live in forests, and live CCTV transmissions to figure out where fires are. This study also investigates the influence of climatological factors, such as heat, humidity level, speed of the wind, and regular rainfall, on the probability of a fire in the woods breaking out. Because of these effects, it is important to come up with new ways to help predict fires and as a result stop them from happening. Using a feedforward artificial neural network and the right data, this goal can be reached. This will make it possible for authorities to be better equipped, which will save both important time and maybe even lives. Utilizing various methodologies provides a unique benefit and makes it simpler to locate wildfires.