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Image Processing and Machine Learning for Automated Fruit Grading System: A Technical Review

by Rashmi Pandey, Sapan Naik, Roma Marfatia
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 81 - Number 16
Year of Publication: 2013
Authors: Rashmi Pandey, Sapan Naik, Roma Marfatia
10.5120/14209-2455

Rashmi Pandey, Sapan Naik, Roma Marfatia . Image Processing and Machine Learning for Automated Fruit Grading System: A Technical Review. International Journal of Computer Applications. 81, 16 ( November 2013), 29-39. DOI=10.5120/14209-2455

@article{ 10.5120/14209-2455,
author = { Rashmi Pandey, Sapan Naik, Roma Marfatia },
title = { Image Processing and Machine Learning for Automated Fruit Grading System: A Technical Review },
journal = { International Journal of Computer Applications },
issue_date = { November 2013 },
volume = { 81 },
number = { 16 },
month = { November },
year = { 2013 },
issn = { 0975-8887 },
pages = { 29-39 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume81/number16/14209-2455/ },
doi = { 10.5120/14209-2455 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:56:14.744919+05:30
%A Rashmi Pandey
%A Sapan Naik
%A Roma Marfatia
%T Image Processing and Machine Learning for Automated Fruit Grading System: A Technical Review
%J International Journal of Computer Applications
%@ 0975-8887
%V 81
%N 16
%P 29-39
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In India, demand for various fruits and vegetables are increasing as population grows. Automation in agriculture plays a vital role in increasing the productivity and economical growth of the Country, therefore there is a need for automated system for accurate, fast and quality fruits determination. Researchers have developed numerous algorithms for quality grading and sorting of fruit. Color is most striking feature for identifying disease and maturity of the fruit. In this paper; efficient algorithms for color feature extraction are reviewed. Then after, various classification techniques are compared based on their merits and demerits. The objective of the paper is to provide introduction to machine learning and color based grading algorithms, its components and current work reported on an automatic fruit grading system.

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Index Terms

Computer Science
Information Sciences

Keywords

Fruit grading Machine learning Color feature extraction Classification

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