CFP last date
20 January 2025
Reseach Article

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
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
  1. Sankaran, S., Mishra, A., Ehsani, R., and Davis, C., A review of advanced techniques for detecting plant diseases. Computers and Electronics in Agriculture, vol. 72, 2010, pp. 1-13.
  2. Al Bashish, D., Braik, M. and Bani-Ahmad, S., Detection and classification of leaf diseases using k-mans clustering based segmentation and neural networks based classification. Information Technology Journal, 2011, pp. 267 -275.
  3. Sannakki, S.S., Rajpurohit, V.S., Nargund, V.B. and Kulkarni, P., Diagnosis and Classification of Grape Leaf Diseases using Neural Network. In 4th IEEE International Conference on Computing, Communications and Networking Technologies (ICCCNT), 2013, pp. 1-5
  4. El Massi, I., Es-Saady, Y., Elyassa, M., Benazoun, A., and D. Mammass, Automatic recognition of the damages and symptoms on plant leaves using parallel combination of two classifiers. 13th IEEE International Conference Computer Graphics, Imaging and Visualization (CGIV), 2016, pp. 131-136.
  5. Es-Saady, Y., EL Massi, I., El Yassa, M., Benazoun, A., and D. Mammass, Automatic recognition of the damages and symptoms on plant leaves using parallel combination of two classifiers. 2nd IEEE Electrical and Information Technologies ICEIT'2016, Tangier, Morocco.
  6. Barbedo, J. 2013. Digital image processing techniques for detecting, quantifying and classifying plant diseases. In Springer plus 2, (2013) 1–12.
  7. Geng, Y., Miao, L., Yuan, Y., and Zelin, H., A Study on the Method of Image Pre-Processing for Recognition of Crop Diseases. In International Conference on Advanced Computer Control, 2008, pp. 202-206.
  8. Camargo, A., and Smith, J., An image-processing based algorithm to automatically identify plant disease visual symptoms. Biosystems Engineering, Vol. 102, 2008, pp. 9–21.
  9. MacQueenn, J. B., Some methods for classification and analysis of multivariate observations. Proceedings of 5th Berkeley Symposium on Mathematical Statistics and Probability, 1967, pp. 281-297.
  10. Patil, J. K., and Kumar, R., Color feature extraction of tomato leaf diseases. International Journal of Engineering Trends and Technology, Vol. 2, 2011, pp.72-74.
  11. Al Bashish, D., Braik, M., and Bani-Ahmad, S., A Framework for Detection and Classification of Plant Leaf and Stem Diseases. In IEEE International Conference on Signal and Image Processing, 2010, pp. 113 -118.
  12. Haralick, R.M., Shanmugan, K., and Dinstein, I., Textural Features for Image Classification. In IEEE Transactions on Systems, Man, and Cybernetics, Vol. 3, 1973, pp. 610-621.
  13. Basheer, I.A., and M. Hajmeer, Artificial neural networks: fundamentals, computing, design, and application. Journal of Microbiological Methods, 2000, pp. 1-31.
Index Terms

Computer Science
Information Sciences

Keywords

Pattern recognition Classification Neural network Vegetable crops Diseases Image.