I-PEDIA: Mobile application for paddy disease identification using fuzzy entropy and probabilistic neural network

Abstract

This research developed a mobile application for paddy plant disease identification system using fuzzy entropy and classifier probabilistic neural network (PNN) that runs on Android mobile's operating system. Paddy diseases are a major cause of yield loss and lower profit in rice production. Paddy diseases are extracted from digital paddy leaf images using fuzzy entropy and then the diseases are classified using PNN. Cross validation is used for assessing how the results of a statistical analysis will generallize to an independent data set. The experiment result shows that the accuracy of paddy diseases identification is 91.46%.