Call for Paper - August 2022 Edition
IJCA solicits original research papers for the August 2022 Edition. Last date of manuscript submission is July 20, 2022. Read More

Leaf Disease Recognition System

Print
PDF
IJCA Proceedings on National Conference on Digital Image and Signal Processing
© 2016 by IJCA Journal
NCDISP 2016 - Number 2
Year of Publication: 2016
Authors:
Kiran A. Pachore
Roshan Kishore
Shital G. Bhawari

Kiran A Pachore, Roshan Kishore and Shital G Bhawari. Article: Leaf Disease Recognition System. IJCA Proceedings on National Conference on Digital Image and Signal Processing NCDISP 2016(2):31-34, August 2016. Full text available. BibTeX

@article{key:article,
	author = {Kiran A. Pachore and Roshan Kishore and Shital G. Bhawari},
	title = {Article: Leaf Disease Recognition System},
	journal = {IJCA Proceedings on National Conference on Digital Image and Signal Processing},
	year = {2016},
	volume = {NCDISP 2016},
	number = {2},
	pages = {31-34},
	month = {August},
	note = {Full text available}
}

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

  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • Sk Safikul Alam, Sourabh Chandra, Debabrata Samanta. 2014. Automated Damaged Ginkgo Leaf Detection. IJARCCE Vol. 3, Issue 1, ISSN: 2319-5940.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.