FOREST FIRE PREDICTION AND ALERT SYSTEM USING BIG DATA TECHNOLOGY

In this paper we discuss about the forest fire prediction and alert system using big data technology. Forest fire is considered as one of the major natural disaster. Our method is to collect and analyze the data from wireless sensor using hadoop tool to predict the forest fire before it occurs. Here we use machine learning tool called as Mahout which is used for clustering and filtering the datasets and it can be able to predict the valid output. By using GSM we can give alert message to people so that they can relocate to a safety place immediately, when fire occurs. Signal and Infrare image processing is used to monitor the signals and images of the entire forest for every 30 min and those data will be stored in datasets, by using those data we can be able to predict the forest fire in advance. Keyword: Fire prediction, wireless sensor, hadoop, temperature sensor, Mahout, GSM, Signal proceesing, Infrared image processing.