We apologize for a recent technical issue with our email system, which temporarily affected account activations. Accounts have now been activated. Authors may proceed with paper submissions. PhDFocusTM
CFP last date
20 December 2024
Reseach Article

A Clustering Adaptive Neural Network Approach for Leaf Disease Identification

by Neetu Chahal, Anuradha
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 120 - Number 11
Year of Publication: 2015
Authors: Neetu Chahal, Anuradha
10.5120/21274-4104

Neetu Chahal, Anuradha . A Clustering Adaptive Neural Network Approach for Leaf Disease Identification. International Journal of Computer Applications. 120, 11 ( June 2015), 30-33. DOI=10.5120/21274-4104

@article{ 10.5120/21274-4104,
author = { Neetu Chahal, Anuradha },
title = { A Clustering Adaptive Neural Network Approach for Leaf Disease Identification },
journal = { International Journal of Computer Applications },
issue_date = { June 2015 },
volume = { 120 },
number = { 11 },
month = { June },
year = { 2015 },
issn = { 0975-8887 },
pages = { 30-33 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume120/number11/21274-4104/ },
doi = { 10.5120/21274-4104 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:05:58.729983+05:30
%A Neetu Chahal
%A Anuradha
%T A Clustering Adaptive Neural Network Approach for Leaf Disease Identification
%J International Journal of Computer Applications
%@ 0975-8887
%V 120
%N 11
%P 30-33
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Agricultural image processing is having its significance to classify the agricultural objects as well as to identify the disease. These diseases are specific to the agricultural object or generic in nature. In this paper, an effective way is defined to identify the leaf disease over the plants. The work is here defined based on moment based analysis defined under clustering improved neural network approach. The work is here improved as a layered clustered and classification approach. In first stage, the identification of disease ROI is done. This identification is done using the CMeans Clustering Approach. Once the disease ROI is identified, the next work is to perform neural network approach for disease identification. The obtained results shows the effective recognition of disease area over the leaf images.

References
  1. Zhou Guoying,2010 " Fungistatic activity and identification of Antagonistic Actinomycetes to camellia diseases from Soil",International Conference on Challenges in Environmental Science and Computer Engineering Volume I, 475-478.
  2. Lixin Li," Isolation, Identification and optimization of Culture Conditions of Photosynthetic Bacteria", 2011, ICBBE,1-4.
  3. Haiguang Wang," Application of Neural Networks to Image Recognition of Plant Diseases", 2012 International Conference on Systems and Informatics (ICSAI 2012) 2159-2164.
  4. Haiguang Wang," Image Recognition of Plant Diseases Based on Principal Component Analysis and Neural Networks", 2012 8th International Conference on Natural Computation (ICNC 2012) 246-251
  5. Nurul Hidayah Tuhid," A Statistical Approach for Orchid Disease Identification using RGB Color", 2012 IEEE Control and System Graduate Research Colloquium (ICSGRC 2012) 382-385
  6. Haiguang Wang," Image Recognition of Plant Diseases Based on Backpropagation Networks", 2012 5th International Congress on Image and Signal Processing (CISP 2012) 894-900
  7. Sanjeev S Sannakki, "Diagnosis and Classification of Grape Leaf Diseases using Neural Networks", 4th ICCCNT 2013
  8. Asma Akhtar," Automated Plant Disease Analysis (APDA): Performance Comparison of Machine Learning Techniques",2013 11th International Conference on Frontiers of Information Technology
  9. Lung-Jen Wang," Combined Opportunity Cost and Image Classification for Non-Linear Image Enhancement", 2012 Sixth International Conference on Complex, Intelligent, and Software Intensive Systems 135-140
  10. Tianqiang Peng," A Remote Sensing Image Classification Method Based on Evidence Theory and Neural Networks", IEEE Int. Conf. Neural Networks &Signal Processing Vol I, pp. 240-244.
  11. S. L. Wang," Information-Based Color Feature Representation For Image Classification", ICIP 2007 Vol 6, pp. VI-353-VI-356
Index Terms

Computer Science
Information Sciences

Keywords

Leaf Disease ROI Neural Network