Open AccessForest Fire Prediction using Machine Learning Models based on DC, Wind and RH
Publication year - 2020
Publication title -
international journal of recent technology and engineering
Language(s) - English
Resource type - Journals
ISSN - 2277-3878
DOI - 10.35940/ijrte.f1026.0386s20
Subject(s) - random forest , computer science , machine learning , artificial intelligence , wind speed , classifier (uml) , meteorology , geography
The paper points out forest fire prediction using machine learning models on the basis of viz. DC, Wind, RH out of the several machine learning classifier algorithms, It is relevant that random forest algorithm generates optimum accuracy(99.61%).