Analysis of methods and technologies used to predict and detect fires in forestry

To ensure early detection of fires, various methods, including artificial intelligence (Al), Wireless Sensor Networks (WSN), and machine learning, are recommended. The most effective approach for safeguarding forestry is through prediction and the early identification of vulnerable areas within forests where ignition is likely to occur. This article provides an overview of various methods, algorithms, and theories employed for early fire detection in forestry, as well as fire prediction. It offers insights into the utilization and accuracy of individual techniques, methods, and algorithms developed for predicting and monitoring forest fires. In this article, we present various used methods/algorithms or theories that are used for early fire detection in forestry as well as its prediction. We will describe the use as well as the accuracy of the available individual options, methods and algorithms designed for the prediction and recording of forest fires.