Analysis of various Plant Disease detection Techniques
Gazzal Thukral1 , Lal Chand2
Section:Review Paper, Product Type: Journal Paper
Volume-7 ,
Issue-7 , Page no. 308-311, Jul-2019
CrossRef-DOI: https://doi.org/10.26438/ijcse/v7i7.308311
Online published on Jul 31, 2019
Copyright © Gazzal Thukral, 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: Gazzal Thukral, Lal Chand, “Analysis of various Plant Disease detection Techniques,” International Journal of Computer Sciences and Engineering, Vol.7, Issue.7, pp.308-311, 2019.
MLA Style Citation: Gazzal Thukral, Lal Chand "Analysis of various Plant Disease detection Techniques." International Journal of Computer Sciences and Engineering 7.7 (2019): 308-311.
APA Style Citation: Gazzal Thukral, Lal Chand, (2019). Analysis of various Plant Disease detection Techniques. International Journal of Computer Sciences and Engineering, 7(7), 308-311.
BibTex Style Citation:
@article{Thukral_2019,
author = {Gazzal Thukral, Lal Chand},
title = {Analysis of various Plant Disease detection Techniques},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {7 2019},
volume = {7},
Issue = {7},
month = {7},
year = {2019},
issn = {2347-2693},
pages = {308-311},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=4766},
doi = {https://doi.org/10.26438/ijcse/v7i7.308311}
publisher = {IJCSE, Indore, INDIA},
}
RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v7i7.308311}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=4766
TI - Analysis of various Plant Disease detection Techniques
T2 - International Journal of Computer Sciences and Engineering
AU - Gazzal Thukral, Lal Chand
PY - 2019
DA - 2019/07/31
PB - IJCSE, Indore, INDIA
SP - 308-311
IS - 7
VL - 7
SN - 2347-2693
ER -
VIEWS | XML | |
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Abstract
The plant disease detection is the approach which is applied to predict disease type from the input image. The plant disease detection has the two phases which are feature extraction and classification. In the previous years, various techniques has been designed for the plant disease detection. The various classifications methods has been designed for the plant disease detection like SVM, decision etc. In this paper, various plant disease detection techniques are reviewed and analyzed in terms of certain parameters
Key-Words / Index Term
Plant Disease detection, SVM, Classification, Feature extraction
References
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