Under the present circumstances, the IoT industry is expanding quickly. We are all aware of the importance of the Internet of Things these days. These days, almost every industry uses it to make our lives a little bit simpler. Worldwide, forest fires have grown to be a serious concern, harming both human dwellings and forest ecosystems. The greenhouse effect and altered climate are two effects of such devastation. Regrettably, human activity is the primary cause of a greater proportion of forest fires. As a result, early detection of forest fires is essential to reducing the devastation they inflict. In this study, an IoT-based system and technique for early detection of forest fires are proposed. The focus of this study is on assessing several characteristics that might cause forest fires in order to identify them as early as feasible. This study proposes an Internet of Things (IoT)-based forest fire detection system that monitors parameters using sensors such as the MQ5 smoke sensor, DHT22 temperature and humidity sensor, Capacitive soil moisture sensor, and Flame sensor. A wi-fi capable microcontroller (NodeMCU) retrieves the readings from the sensor and uploads them to the cloud. The user receives a message or a call when these values are above a certain threshold. This strategy may prevent fatalities or at the very least encourage the installation of safety precautions. This paper's primary goal is to provide a method that may identify prospective fire threats as soon as feasible, averting the development of horrifying wildfires. With the help of our technology, it may be possible to anticipate and identify fires and notify the appropriate authorities in time for them to take appropriate action before the forest fire gets out of control.

Keywords: Forest Fires, WSN, Detection, Visualization, Alert System, fire prevention