Disease Detection in Plant Leaves using K-Means Clustering and Neural Network

V. Chandran; P. Harini

Title:
Disease Detection in Plant Leaves using K-Means Clustering and Neural Network

Authors:
P. Harini | V. Chandran

Cite This Article :

P. Harini | V. Chandran "Disease Detection in Plant Leaves using K-Means Clustering and Neural Network" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-1, December 2019, pp.442-445, URL: https://www.ijtsrd.com/papers/ijtsrd29562.pdf

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Abstract :
The most contributing variable for the Indian Economy is Agriculture yet at the same time there is absence of mechanical improvement in many parts of it. The harm caused by rising, re-developing and endemic pathogens, is vital in plant frameworks and prompts potential misfortune. The harvest generation misfortunes its quality because of much infections and some of the time they happen however are indeed, even not obvious with stripped eyes. Plant malady recognition is one such dull process that is hard to be inspected by exposed eye. This paper shows an answer utilizing image processing calculations by loading the image, preprocessing and feature extraction using K-means clustering and segmentation method to identify the disease with which the plant leaf been affected.

Keywords :
Image processing, pre-processing, feature extraction, K-means clustering, Segmentation

Publication Details:

Unique Identification Number : IJTSRD29562

Published In : Volume-4 | Issue-1, December 2019

Page Number(s) : 442-445

Publisher Name : IJTSRD | www.ijtsrd.com | E-ISSN 2456-6470

Copyright © 2019 by author(s) and International Journal of Trend in Scientific Research and Development Journal. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0) (http://creativecommons.org/licenses/by/4.0)

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