LEAF DISEASE DETECTION USING IMAGE PROCESSING AND NEURAL NETWORK
| Author(s) | : | Arti N. Rathod, Bhavesh A. Tanawala, Vatsal H. Shah |
| Institution | : | Computer Engineering Department, Birla Vishvakarma Mahavidyalaya Vallabh Vidhyanagar |
| Published In | : | Vol. 1, Issue 6 — June 2014 |
| Page No. | : | 57-66 |
| Domain | : | Engineering |
| Type | : | Research Paper |
| ISSN (Online) | : | 2348-4470 |
| ISSN (Print) | : | 2348-6406 |
In agriculture research of automatic leaf disease detection is essential research topic as itmay prove benefits in monitoring large fields of crops, and thus automatically detect symptoms ofdisease as soon as they appear on plant leaves. There are the main steps for disease detection ofImage Acquisition, Image Preprocessing, Image Segmentation, Feature Extraction and StatisticalAnalysis. This proposed work is in first image filtering using median filter and convert the RGBimage 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 theTexture features Statistics, in last this features passed in neural network. The Neural Networkclassification performs well and could successfully detect and classify the tested disease.
Arti N. Rathod, Bhavesh A. Tanawala, Vatsal H. Shah, “LEAF DISEASE DETECTION USING IMAGE PROCESSING AND NEURAL NETWORK”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 1, Issue 6, pp. 57-66, June 2014.
