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Digital Image Processing-An Elegant Technology to Perceive Diseases in Plants

Gouri M. Patil1

Section:Research Paper, Product Type: Journal Paper
Vol.06 , Special Issue.01 , pp.43-47, Jan-2018

Online published on Jan 31, 2018

Copyright © Gouri M. Patil . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.  

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IEEE Style Citation: Gouri M. Patil, “Digital Image Processing-An Elegant Technology to Perceive Diseases in Plants,” International Journal of Scientific Research in Computer Science and Engineering, Vol.06, Issue.01, pp.43-47, 2018.

MLA Style Citation: Gouri M. Patil "Digital Image Processing-An Elegant Technology to Perceive Diseases in Plants." International Journal of Scientific Research in Computer Science and Engineering 06.01 (2018): 43-47.

APA Style Citation: Gouri M. Patil, (2018). Digital Image Processing-An Elegant Technology to Perceive Diseases in Plants. International Journal of Scientific Research in Computer Science and Engineering, 06(01), 43-47.

BibTex Style Citation:
@article{Patil_2018,
author = {Gouri M. Patil},
title = {Digital Image Processing-An Elegant Technology to Perceive Diseases in Plants},
journal = {International Journal of Scientific Research in Computer Science and Engineering},
issue_date = {1 2018},
volume = {06},
Issue = {01},
month = {1},
year = {2018},
issn = {2347-2693},
pages = {43-47},
url = {https://www.isroset.org/journal/IJSRCSE/full_paper_view.php?paper_id=12},
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
UR - https://www.isroset.org/journal/IJSRCSE/full_spl_paper_view.php?paper_id=12
TI - Digital Image Processing-An Elegant Technology to Perceive Diseases in Plants
T2 - International Journal of Scientific Research in Computer Science and Engineering
AU - Gouri M. Patil
PY - 2018
DA - 2018/01/31
PB - IJCSE, Indore, INDIA
SP - 43-47
IS - 01
VL - 06
SN - 2347-2693
ER -

Abstract :
Agricultural production quality and quantity can be enhanced using precision agriculture. In India, many plants used as medicine as well as their flowers for decoration and worship. Significant threats to production of such crops are affected by various diseases and hard to control. The fungus is one of the disorders which is commonly and mostly affects these plans. Symptoms of fungus on leaves are different as tan or different colored spots like yellow, brown with low to high infection intensity. The fungus produces chemicals which are harmful to plant growth as well as affects the human health [3]. The fungal disease causes plants to die prematurely and need to detect. That can avoid the distortion of these valuable plants and all its parts. The emergence of Digital Image Processing is helpful in precision agriculture. With the various processing of these plant images, it is possible to detect the plant disease. The research proposes the model to identify the fungus infection of Lotus Leaf.

Key-Words / Index Term :
Fungus, DIP, ED, Threshold

References :
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[3]. Manisha Kaushal, Arjan Singh, Baljit Singh, "Adaptive Thresholding for Edge Detection in Gray Scale Images" International Journal of Engineering Science and Technology Volume 2(6), 2010, 2077-2082, ISSN: 0975-5462, pp. 2077- 2082.
[4]. The clinic University of Nebraska,"Plant and Pest Diagnostic" Clinic University of Nebraska-Lincoln 448 Plant Sciences Hall Lincoln, NE 68583-0722 (402) 472-2559, Department of Agriculture (USDA). March 2011
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[9]. Shitala Prasad, Piyush Kumar, “Plant Leaf Disease Detection Using Gabor Wavelet Transform” SEMCCO 2012, LNCS 7677, pp. 372–379, 2012, Springer-Verlag Berlin Heidelberg 2012
[10]. Supriya S. Patki, Dr. G. S. Sable, “Cotton Leaf Disease Detection” IOSR Journal of VLSI and Signal Processing (IOSR-JVSP) Volume 6, Issue-3, Ver-I -May-Jun 2016.
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[12]. Tirath Sahu, Yogendra Jain "Improved Simplified Novel Method for Edge Detection in Grayscale Images using adaptive Thresholding" Journal of Advances in Computer Networks, Volume 3, No. 2, June 2015, DOI: 10.7763/JACN.2015.V3.159, pp. 157-161

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