Forest Fire Detection and Prediction - Survey

被引:1
作者
Thirumal, P. C. [1 ]
Agnus, Shylu Dafni L. [1 ]
机构
[1] Kumaraguru Coll Technol, Informat Technol, Coimbatore, Tamil Nadu, India
来源
2022 INTERNATIONAL CONFERENCE ON INVENTIVE COMPUTATION TECHNOLOGIES, ICICT 2022 | 2022年
关键词
forest fire; fire prediction system; forest fire detection system; ensemble model; wireless sensor network; neural network model; machine learning algorithms;
D O I
10.1109/ICICT54344.2022.9850518
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
One of the major environmental concerns is forest fire. Every year million hectares of land are obliterated over the world and causes the environmental damage. Predicting or detecting the timber producing land has become the major concern and basic need to reduce the environmental loss. Advancements and new techniques can be used to detect and predict the forest fire at the earliest to anticipate and recognize backwoods fires. The pattern is to incorporate the intelligence technology to predict and detect the fire at early stage. This paper presents the overview of various prediction and detection techniques that are used to identify the forest fire in various regions, and the different strategies are recognized and evaluated. The various works and method systems are surveyed along with the factors, occurrence of fire and risk factors which are analyzed. The results and principal issues of each article is discussed and analyzed in this paper.
引用
收藏
页码:1295 / 1302
页数:8
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