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Reseach Article

Leaf Disease Recognition System

Published on August 2016 by Kiran A. Pachore, Roshan Kishore, Shital G. Bhawari
National Conference on Digital Image and Signal Processing
Foundation of Computer Science USA
NCDISP2016 - Number 2
August 2016
Authors: Kiran A. Pachore, Roshan Kishore, Shital G. Bhawari
9372a4c5-290d-4f3d-8868-16680c381f90

Kiran A. Pachore, Roshan Kishore, Shital G. Bhawari . Leaf Disease Recognition System. National Conference on Digital Image and Signal Processing. NCDISP2016, 2 (August 2016), 31-34.

@article{
author = { Kiran A. Pachore, Roshan Kishore, Shital G. Bhawari },
title = { Leaf Disease Recognition System },
journal = { National Conference on Digital Image and Signal Processing },
issue_date = { August 2016 },
volume = { NCDISP2016 },
number = { 2 },
month = { August },
year = { 2016 },
issn = 0975-8887,
pages = { 31-34 },
numpages = 4,
url = { /proceedings/ncdisp2016/number2/25857-1633/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 National Conference on Digital Image and Signal Processing
%A Kiran A. Pachore
%A Roshan Kishore
%A Shital G. Bhawari
%T Leaf Disease Recognition System
%J National Conference on Digital Image and Signal Processing
%@ 0975-8887
%V NCDISP2016
%N 2
%P 31-34
%D 2016
%I International Journal of Computer Applications
Abstract

Agriculture is the back-bone of country economy, where farmer source of income widely depend upon the farming. During the cultivation of crops, it require proper monitoring and due to change in atmospheric condition or the loss of soil nutrition these crops get encountered with certain type of disease. These disease farmer cannot recognize easily because of which they get loss in production. So here we proposed the system where we detect the disease based on leaf symptoms and diagnose for proper medication based on the result.

References
  1. Yan-cheng Zhang, Han-Ping Mao, Bo Hu, Ming-XI LI. 2007. "Features election of cotton disease leaves image based on fuzzy feature selection techniques". International Conference on Wavelet Analysis and Pattern Recognition.
  2. Prof. Sanjay B. Dhaygude, Mr. Nitin P. Kumbhar. 2013. Agricultural plant Leaf Disease Detection Using Image Processing. International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering. Vol. 2, Issue 1. ISSN: 2278 – 8875.
  3. Prakash M. Mainkar, Shreekant Ghorpade , Mayur Adawadkar. 2015. Plant Leaf Disease Detection and Classification Using Image Processing Techniques. IJIERE olume 2, Issue 4, ISSN: 2394 – 5494.
  4. Prof. R. N. kadu, S. Kangane , S. Vikhe, R. Pandita, V. Inamke. 2015. Leaf Disease Detection Using Arm7 and Image Processing. Int. Journal of Engineering Research and Applications. Vol. 5, Issue 2 , ISSN : 2248-9622.
  5. Prof. Ujwalla Gawande , Ms. Kiran R. Gavhale. 2014. An Overview of the Research on Plant Leaves Disease detection using Image Processing Techniques. IOSR-JCE e-ISSN: 2278-0661, p- ISSN: 2278-8727Volume 16, Issue 1.
  6. Sk Safikul Alam, Sourabh Chandra, Debabrata Samanta. 2014. Automated Damaged Ginkgo Leaf Detection. IJARCCE Vol. 3, Issue 1, ISSN: 2319-5940.
  7. Rajesh Pydipti. 2004. Evaluation of Classifiers for Automatic Disease Detection In Citrus Leaves Using Machine Vision. Thesis for Master of Engineering at University of Florida. Afshin shaabany, Fatemeh Jamshidi. 2013.
  8. Illness Detection on Cotton Leaves by Gabor Wavelet. Research and Reviews: Journal of Botanical Sciences. Volume 2, Issue 4, E-ISSN: 2320- 0189, p-ISSN: 2347- 2308.
  9. Mr. Pawan P. Warne, Dr. S. R. Ganorkar. Detection of Diseases on Cotton Leaves Using K- Mean Clustering Method. IJIRT. Volume: 02 Issue: 04, e-ISSN: 2395 – p-ISSN: 2395-0072.
  10. Naik Durgesh Manikrao, Dr. A. J. Vyavahare. 2015. Disease Detection of Cotton crop using ImageProcessing Technique: A Survey. IJRASET. Volume 3, Issue VI, ISSN: 2321-9653.
  11. Hrushikesh Dattatray Marathe, Prerna Namdeorao Kothe. March – 2013. Leaf Disease Detection Using Image Processing Techniques. International Journal of Engineering Research & Technology (IJERT). Vol. 2 Issue 3, ISSN: 2278-018.
  12. Qinghai He1, Benxue Ma, Duanyang Qu , Qiang Zhang, Xinmin Hou, Jing Zhao. 2013. Cotton Pests and Diseases Detection based on Image Processing. TELKOMNIKA, Vol. 11, No. 6, e-ISSN: 2087-278X.
  13. Nikita Rishi , Jagbir Singh Gill. 2014. An Overview on Detection and Classification of Plant Diseases in Image Processing. International Journal of Scientific Engineering and Research (IJSER). Volume 3, Issue 5, ISSN: 2347-3878.
  14. Diao Zhihua, Wang Huan, Song Yinmao, Wang Yunpeng. 2013. Image Segmentation Method for Cotton Mite Disease Based On Color Feature and Area Thresholding. Journal of Theoretical and Applied Information Technology. ISSN: 1992-8645.
Index Terms

Computer Science
Information Sciences

Keywords

Hue Saturation Value (hsv) Luminesce A&b (chromatic Component) (lab) K-main Clustering Algorithm Color Co-occurrence Matrix Gray Level Co-occurrence Matrix (glcm) Segmentation Classification