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Automatic Recognition of Vegetable Crops Diseases based on Neural Network Classifier

by Ismail El Massi, Youssef Es-saady, Mostafa El Yassa, Driss Mammass, Abdeslam Benazoun
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 158 - Number 4
Year of Publication: 2017
Authors: Ismail El Massi, Youssef Es-saady, Mostafa El Yassa, Driss Mammass, Abdeslam Benazoun
10.5120/ijca2017912796

Ismail El Massi, Youssef Es-saady, Mostafa El Yassa, Driss Mammass, Abdeslam Benazoun . Automatic Recognition of Vegetable Crops Diseases based on Neural Network Classifier. International Journal of Computer Applications. 158, 4 ( Jan 2017), 48-51. DOI=10.5120/ijca2017912796

@article{ 10.5120/ijca2017912796,
author = { Ismail El Massi, Youssef Es-saady, Mostafa El Yassa, Driss Mammass, Abdeslam Benazoun },
title = { Automatic Recognition of Vegetable Crops Diseases based on Neural Network Classifier },
journal = { International Journal of Computer Applications },
issue_date = { Jan 2017 },
volume = { 158 },
number = { 4 },
month = { Jan },
year = { 2017 },
issn = { 0975-8887 },
pages = { 48-51 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume158/number4/26900-2017912796/ },
doi = { 10.5120/ijca2017912796 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:03:58.774563+05:30
%A Ismail El Massi
%A Youssef Es-saady
%A Mostafa El Yassa
%A Driss Mammass
%A Abdeslam Benazoun
%T Automatic Recognition of Vegetable Crops Diseases based on Neural Network Classifier
%J International Journal of Computer Applications
%@ 0975-8887
%V 158
%N 4
%P 48-51
%D 2017
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper presents a pattern recognition system for the identification of the vegetable crops diseases from images. The proposed system is based on three main phases: Segmentation, feature extraction and classification. The segmentation of the images is carried out using k-means clustering method. Then, three type of features are extracted from the segmented images including color, texture and shape. These features are used for training and classification using neural networks. The tests of this study are carried out on 300 images of three vegetable crops diseases (Early blight, Late blight and Powdery mildew). The results, with a recognition rate of 95,3 %, show that the proposed system would be interesting to use as means of diagnosis of vegetable crops diseases.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Pattern recognition Classification Neural network Vegetable crops Diseases Image.

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