Fog Enabled Forest Fire Management System using IoT and Machine Learning

Forest fires are one of the most serious natural disasters, caused mostly by global warming. Nature may exacerbate this danger by harming themselves and civilization as a result of pollution. Many issues, such as rehabilitating wild animals and animal migration to residential areas, are dealt with by the forest management and wild life departments. The tree?s strength has severely dropped, resulting in an unhealthy forest environment. According to the annual report, wildfires are responsible for 85 percent of forest tragedies. Few studies on forest management employing wireless sensor networks have been conducted in recent years. However, forest management using wireless sensor networks is still plagued by data quality difficulties and delivery delays. Currently, a large wave of iot and fog computing is being used in a variety of smart applications to analyze data closer to the device for faster response rather than in the cloud. Edge/fog computing in iot also eliminates bandwidth, latency, and delay in data processing. As a result, we propose an iot-based forest fire monitoring system based on fog. The suggested iot fog-based forest fire control system is utilized for monitoring and warning in order to protect trees and wildlife.