Forest fires are one of the major environmental concerns, each year millions of hectares are destroyed over the world, causing economic and ecological damage as well as human lives. Thus, predicting such an environmental issue becomes a critical concern to mitigate this threat. Several technologies and new methods have been proposed to predict and detect forest fires. The trend is toward the integration of artificial intelligence to automate the prediction and detection of fire occurrence. This paper presents a comprehensive survey of the machine learning algorithms based forest fires prediction and detection systems. First, a brief introduction to the forest fire concern is given. Then, various methods and systems in forest fires prediction and detection systems are reviewed. Besides works that reported fire prediction and detection systems, studies that assessed the factors influencing the fire occurrence and risk are discussed. The main issues and outcomes within each study are presented and discussed.

中文翻译：

---

基于机器学习算法的森林火灾预测和检测系统综述

森林火灾是主要的环境问题之一，每年全世界有数百万公顷的土地被毁，造成经济和生态破坏以及人类生命。因此，预测这样的环境问题成为减轻这种威胁的关键问题。已经提出了几种技术和新方法来预测和检测森林火灾。趋势是集成人工智能以自动预测和检测火灾发生。本文对基于机器学习算法的森林火灾预测和检测系统进行了全面调查。首先，简要介绍森林火灾问题。然后，回顾了森林火灾预测和检测系统中的各种方法和系统。除了报告火灾预测和探测系统的作品，讨论了评估影响火灾发生和风险的因素的研究。介绍和讨论了每项研究中的主要问题和结果。