Paper Title

A Fruit Identification with Classification Fault Detection Technique using K-means clustering

Authors

Gholve Sujata , Prof. Mane Ashok

Keywords

K-means clustering, machine learning, L*a*b, texture features.GCH,Local binary pattern

Abstract

As of late, it has been exhibited that visual recognition and ML techniques can be utilized to create frameworks that keep tracks of human natural product utilization.Diseases in fruit cause devastating problem in economic losses and production in agricultural industry world wide. All the fruits were analyzed on the basis of their color (RGB space),shape and texture and then classified using different classifiers to find the classifier that gives the best accuracy.The image processing based proposed approach is composed of the first step K-Means clustering technique is used for the image segmentation, in the second step some features are extracted from the segmented image, and finally images are classified into one of the classes by using a Support Vector Machine.Our experimental results express that the proposed solution can significantly support accurate detection and automatic classification of fruit diseases. Grey Level Co-occurrence Matrix (GLCM) is used to calculate texture features.Currently we perform the analysis for Apple, Orange, Grapes, pomegranate & banana.

How To Cite

"A Fruit Identification with Classification Fault Detection Technique using K-means clustering", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.5, Issue 11, page no.115 - 120, November-2020, Available :https://ijsdr.org/papers/IJSDR2011019.pdf

Issue

Volume 5 Issue 11, November-2020

Pages : 115 - 120

Other Publication Details

Paper Reg. ID: IJSDR_192697

Published Paper Id: IJSDR2011019

Downloads: 000347208

Research Area: Engineering

Country: Barshi, Maharashtra, India

Published Paper PDF: https://ijsdr.org/papers/IJSDR2011019

Published Paper URL: https://ijsdr.org/viewpaperforall?paper=IJSDR2011019

About Publisher

ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJSDR(IJ Publication) Janvi Wave

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