An Artificial Intelligence Approach using Internet-of-Things for Forest Fire Management System

Abstract

Prediction of forest fires is an important part of forest fire management. It is crucial in terms of resource allocation, mitigation, and recovery. Fires are dangerous because of the fuel they consume. There will always be fire where there is gasoline. Using data to anticipate how things burn and fuel model conditions is the most valuable use of Artificial Intelligence (AI) in battling wildfires. In order to aid in the fight against wildfires, AI can assist in anticipating how big fires will develop and where they will spread. Forest fire prediction, prevention, and mitigation can be aided by computer vision technology, data analysis and prediction, as well as machine learning and deep learning. Forest fires can be predicted using atmospheric data and deep learning. Environmental conditions, as well as data analysis of the surrounding trees and leaves that serve as the fuel for any forest fire, can be examined using AI to evaluate and predict the likelihood of a forest fire with a good degree of accuracy. The concepts of employing AI in forest fire prediction, prevention, and mitigation are presented in this study.