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

Disease Detection and Diagnosis on Plant using Image Processing - A Review

by Khushal Khairnar, Rahul Dagade
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 108 - Number 13
Year of Publication: 2014
Authors: Khushal Khairnar, Rahul Dagade
10.5120/18973-0445

Khushal Khairnar, Rahul Dagade . Disease Detection and Diagnosis on Plant using Image Processing - A Review. International Journal of Computer Applications. 108, 13 ( December 2014), 36-38. DOI=10.5120/18973-0445

@article{ 10.5120/18973-0445,
author = { Khushal Khairnar, Rahul Dagade },
title = { Disease Detection and Diagnosis on Plant using Image Processing - A Review },
journal = { International Journal of Computer Applications },
issue_date = { December 2014 },
volume = { 108 },
number = { 13 },
month = { December },
year = { 2014 },
issn = { 0975-8887 },
pages = { 36-38 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume108/number13/18973-0445/ },
doi = { 10.5120/18973-0445 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:42:54.664615+05:30
%A Khushal Khairnar
%A Rahul Dagade
%T Disease Detection and Diagnosis on Plant using Image Processing - A Review
%J International Journal of Computer Applications
%@ 0975-8887
%V 108
%N 13
%P 36-38
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Diseases decrease the productivity of plant. Which restrict the growth of plant and quality and quantity of plant also reduces. Image processing is best way for detecting and diagnosis the diseases. In which initially the infected region is found then different features are extracted such as color, texture and shape. Finally classification technique is used for detecting the diseases. There are different feature extraction techniques for extracting the color, texture and edge features such as color space, color histogram, grey level co-occurrence matrix (CCM), Gabor filter, Canny and Sobel edge detector. There are also different classification techniques such as Support Vector Machine (SVM), Artificial Neural Network (ANN), Backpropagation (BP) Network, Probabilistic Neural Network (PNN), Radial Basis Function (RBF) Neural Network.

References
  1. V. A. Gulhane, Dr. A. A. Gurjar, "Detection of Diseases on Cotton Leaves and Its Possible Diagnosis". 2011 International Journal of Image Processing (IJIP), Vol. 5, Issue (5), pg. no. 590-598.
  2. S. Arivazhagan, R. Newlin Shebiah, S. Ananthi, S. Vishnu Varthini, "Detection of unhealthy region of plant leaves and classification of plant leaf diseases using texture features", Agric Eng Int: CIGR Journal, Vol. 15, pg. no. 211-217, March 2013.
  3. Dheeb Al Bashish, Malik Braik, and Sulieman Bani-Ahmad, "A Framework for Detection and Classification of Plant leaf and Stem Diseases", 2012 International conference on signal and Image Processing, pg. no. 113-118, Chennai, India.
  4. Elham Omrani, Benyamin Khoshnevisan, Shahaboddin Shamshirband, Hadi Saboohi, Nor Badrul Anuar, Mohd Hairul Nizam Md Nasir, "Potential of radial basis function-based support vector regression for apple disease detection", Measurement, vol. 55, pg. no. 512–519, Sept-2014, (Elsevier).
  5. Haiguang Wang, Guanlin Li, Zhanhong Ma and Xiaolong Li, "Image Recognition of Plant Diseases Based on Principal Component Analysis and Neural Networks", 8th International Conference on Natural Computation (ICNC 2012), pg. no. 246-251, (IEEE).
  6. Santanu Phadikar and Jaya Sil, "Rice Disease Identification using Pattern Recognition Techniques", Proceedings of 11th International Conference on Computer and Information Technology (ICCIT 2008), 25-27 December, 2008, Khulna, Bangladesh, pg. no420-423, (IEEE).
  7. P. Revathi, M. Hemalatha, "Cotton Leaf Spot Diseases Detection Utilizing Feature Selection with Skew Divergence Method", International Journal of Scientific Engineering and Technology (ISSN : 2277-1581), Vol. (3), Issue No. 1, pg. no. 22-30, 1 Jan 2014.
  8. http://cotcorp. gov. in/current-cotton. aspx?pageid=4.
  9. Ms. Kiran R. Gavhale and Prof. Ujwalla Gawande, " An Overview of the Research on Plant Leaves Disease detection using Image Processing Techniques", IOSR Journal of Computer Engineering (IOSR-JCE), ISSN: 2278-8727, Vol( 16), Issue 1, PP 10-16, Ver. V (Jan. 2014).
Index Terms

Computer Science
Information Sciences

Keywords

Feature Extraction Classification Support Vector Machine Neural Network.