LEAF DISEASE DETECTION USING IMAGE PROCESSING AND NEURAL NETWORK

Abstract

In agriculture research of automatic leaf disease detection is essential research topic as it
may prove benefits in monitoring large fields of crops, and thus automatically detect symptoms of
disease as soon as they appear on plant leaves. There are the main steps for disease detection of
Image Acquisition, Image Preprocessing, Image Segmentation, Feature Extraction and Statistical
Analysis. This proposed work is in first image filtering using median filter and convert the RGB
image to CIELAB color component, in second step image segmented using the k-medoid technique,
in next step masking green-pixels & Remove of masked green pixels, after in next step calculate the
Texture features Statistics, in last this features passed in neural network. The Neural Network
classification performs well and could successfully detect and classify the tested disease.