TY - EJOU AU - Zhu, Haoran AU - Gao, Demin AU - Zhang, Shuo TI - A Perceptron Algorithm for Forest Fire Prediction Based on Wireless Sensor Networks T2 - Journal on Internet of Things PY - 2019 VL - 1 IS - 1 SN - 2579-0080 AB - Forest fire prediction constitutes a significant component of forest management. Timely and accurate forest fire prediction will greatly reduce property and natural losses. A quick method to estimate forest fire hazard levels through known climatic conditions could make an effective improvement in forest fire prediction. This paper presents a description and analysis of a forest fire prediction methods based on machine learning, which adopts WSN (Wireless Sensor Networks) technology and perceptron algorithms to provide a reliable and rapid detection of potential forest fire. Weather data are gathered by sensors, and then forwarded to the server, where a fire hazard index can be calculated. KW - Perceptron KW - forest fire prediction KW - wireless sensor networks KW - lora DO - 10.32604/jiot.2019.05897