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Plant Disease Detection Methods using Image Processing

Pankaj Gumber1 , Lal Chand2

Section:Review Paper, Product Type: Journal Paper
Volume-7 , Issue-7 , Page no. 391-395, Jul-2019

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v7i7.391395

Online published on Jul 31, 2019

Copyright © Pankaj Gumber, Lal Chand . 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: Pankaj Gumber, Lal Chand, “Plant Disease Detection Methods using Image Processing,” International Journal of Computer Sciences and Engineering, Vol.7, Issue.7, pp.391-395, 2019.

MLA Style Citation: Pankaj Gumber, Lal Chand "Plant Disease Detection Methods using Image Processing." International Journal of Computer Sciences and Engineering 7.7 (2019): 391-395.

APA Style Citation: Pankaj Gumber, Lal Chand, (2019). Plant Disease Detection Methods using Image Processing. International Journal of Computer Sciences and Engineering, 7(7), 391-395.

BibTex Style Citation:
@article{Gumber_2019,
author = {Pankaj Gumber, Lal Chand},
title = {Plant Disease Detection Methods using Image Processing},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {7 2019},
volume = {7},
Issue = {7},
month = {7},
year = {2019},
issn = {2347-2693},
pages = {391-395},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=4776},
doi = {https://doi.org/10.26438/ijcse/v7i7.391395}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v7i7.391395}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=4776
TI - Plant Disease Detection Methods using Image Processing
T2 - International Journal of Computer Sciences and Engineering
AU - Pankaj Gumber, Lal Chand
PY - 2019
DA - 2019/07/31
PB - IJCSE, Indore, INDIA
SP - 391-395
IS - 7
VL - 7
SN - 2347-2693
ER -

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Abstract

The image processing is the technique which can process the information stored in the form of pixels. The disease of the plants can be detected using the methods of image processing. The plant image has various types of noises which can affect accuracy of plant disease detection. In this work, various image de noising methods are reviewed and analyzed in terms of certain parameters

Key-Words / Index Term

Plant disease detection, De noising, feature extraction

References

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