Wildfire forecast within the districts of Kerala using Fuzzy and ANFIS

Abstract

Wildfire is an unbounded catastrophe that affects the serenity of biodiversity. Thus wildfire prediction helps to maintain the resource conservation and recovery management. This paper depicts the prediction of wildfire prevailing in 2 districts of Kerala (Idukki, Wayanad). This paper is implemented using ANFIS (Adaptive Neuro-Fuzzy-Inference System) and fuzzy clustering. Objective of this paper is to predict wildfire. Fuzzy C-means (FCM) of fuzzy clustering is used to obtain the clustered output followed by the classification using ANFIS. It enables an experimental environment on which human knowledge (rules) and learning algorithms to be combined. Based on the output value generated from ANFIS classification the objective is predicted.