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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM20331

PADDY DISEASE ANALYSIS USING IMAGE PROCESSING TECHNIQUE

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM20331

Volume:

7 |

5 |

May 2023

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
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Not assigned

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

TK

T.NITHISH KUMAR

D.

Dr .P.ARUNA

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Abstract

Paddy is a monocotyledonous angiosperm and it belongs to Oryza. It contains more than 20 species, yet just two species are alluded to as development. In this proposed work different data set is considered with kNN classifier, in this experimentation, the features extracted from red component is used for training and the features extracted from green component is consider for testing which has given a success rate of 87%.In agricultural field recognition of healthy or diseased plant was the major constrain. The control period was habitually missed because the traditional approaches are taking long time to analyse. Because an expert has to visit agricultural field repeatedly, it may take more time to analyse, and it may be burden to the farmer. The Proposed system we analyze the paddy disease .

KEYWORDS

Paddy Disease KNN Clasifier Feature Extraction.

Cite This Article

T.NITHISH KUMAR, Dr .P.ARUNA, "PADDY DISEASE ANALYSIS USING IMAGE PROCESSING TECHNIQUE," International Journal of Scientific Research in Engineering and Management, vol. 7, no. 5, May 2023.

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Publication Date

5/13/2023

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Double-Blind Peer Review

Review Rounds: 2

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The authors declare no conflict of interest related to this research work.

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