Among all other common catastrophes in recent times, forest fires have emerged as a significant issue. Natural calamities capable of igniting wildfires include lightning strikes, volcanic eruptions, sparks from rock falls, etc. Lightning is a common cause of wildfires. Forest fires are responsible for 20% of global carbon emissions each year. This is equal to the carbon dioxide emitted by every car on the world's roads. In the past, sustaining life in the forest relied on manual methods that often caused serious damage to plants and trees. Fast, efficient, and accurate detection is essential in solving these problems. The purpose of this chapter is to introduce the use of Internet of Things (IoT) technology for early detection of electrical fires in the forest to reduce the spread of fire. This scheme points toward upgrading woodland security by consequently recognizing lightning inside a particular area and observing for fires within, During any occurrence, the framework instantly informs the specialists and quickly empowers successful reaction measures. In this research, we are going utilize the complete architecture of modules and circuits that will detect lightning frequency and give output to the system, then the system will investigate its range, and after that, it will immediately convey the information to the authority. The implementation of the output of this research will give a new dimension to the forest protection system to keep the ecosystem safe more efficiently.