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Rice Crop Disease Identification and Classifier

Vishakha Lahu Bansod1

Section:Survey Paper, Product Type: Journal Paper
Volume-07 , Issue-11 , Page no. 45-48, May-2019

Online published on Jun 15, 2019

Copyright © Vishakha Lahu Bansod . 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: Vishakha Lahu Bansod , “Rice Crop Disease Identification and Classifier,” International Journal of Computer Sciences and Engineering, Vol.07, Issue.11, pp.45-48, 2019.

MLA Style Citation: Vishakha Lahu Bansod "Rice Crop Disease Identification and Classifier." International Journal of Computer Sciences and Engineering 07.11 (2019): 45-48.

APA Style Citation: Vishakha Lahu Bansod , (2019). Rice Crop Disease Identification and Classifier. International Journal of Computer Sciences and Engineering, 07(11), 45-48.

BibTex Style Citation:
@article{Bansod_2019,
author = {Vishakha Lahu Bansod },
title = {Rice Crop Disease Identification and Classifier},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {5 2019},
volume = {07},
Issue = {11},
month = {5},
year = {2019},
issn = {2347-2693},
pages = {45-48},
url = {https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=1010},
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
UR - https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=1010
TI - Rice Crop Disease Identification and Classifier
T2 - International Journal of Computer Sciences and Engineering
AU - Vishakha Lahu Bansod
PY - 2019
DA - 2019/06/15
PB - IJCSE, Indore, INDIA
SP - 45-48
IS - 11
VL - 07
SN - 2347-2693
ER -

           

Abstract

many papers have been referred, covering the work on rice plant diseases and other different plants and fruits, and present a survey of few papers based on important criteria. These criteria include size of image dataset, no. of classes (diseases), preprocessing, segmentation techniques, types of classifiers, accuracy of classifiers etc. Utilize this survey and study to propose a work on detection and classification of rice crop diseases.

Key-Words / Index Term

plant Dieses, Rice Crop, SVM, preprocessing, Feature extraction, wireless sensor, k-mean

References

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[2] JITESH P. SHAH, HARSHADKUMAR B. PRAJAPATI, VIPUL K. DABHI,”A SURVEY ON DETECTION AND CLASSIFICATIOPN OF RICE PLANT DISEASES” 2016 IEEE International Conference on Current Trends in Advanced Computing (ICCTAC) 15 September 2016
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