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Analysis of Guava Quality by Image Processing

by Matheus Pedroza Ferreira, Glêndara A. De S. Martins, Warley Gramacho Da Silva
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 156 - Number 3
Year of Publication: 2016
Authors: Matheus Pedroza Ferreira, Glêndara A. De S. Martins, Warley Gramacho Da Silva
10.5120/ijca2016912404

Matheus Pedroza Ferreira, Glêndara A. De S. Martins, Warley Gramacho Da Silva . Analysis of Guava Quality by Image Processing. International Journal of Computer Applications. 156, 3 ( Dec 2016), 30-36. DOI=10.5120/ijca2016912404

@article{ 10.5120/ijca2016912404,
author = { Matheus Pedroza Ferreira, Glêndara A. De S. Martins, Warley Gramacho Da Silva },
title = { Analysis of Guava Quality by Image Processing },
journal = { International Journal of Computer Applications },
issue_date = { Dec 2016 },
volume = { 156 },
number = { 3 },
month = { Dec },
year = { 2016 },
issn = { 0975-8887 },
pages = { 30-36 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume156/number3/26691-2016912404/ },
doi = { 10.5120/ijca2016912404 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:01:37.272741+05:30
%A Matheus Pedroza Ferreira
%A Glêndara A. De S. Martins
%A Warley Gramacho Da Silva
%T Analysis of Guava Quality by Image Processing
%J International Journal of Computer Applications
%@ 0975-8887
%V 156
%N 3
%P 30-36
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Brazil is an important fruit producer in the world. Despite the enormous production, fruit classification techniques do not follow the requirements of consumer protection institutions regarding food quality, since visual and manual classification techniques are still widely used. In this way, the development of machinery and grading systems has been increasingly exploited in order to meet the market's demands. The objective of the present study is to develop a system capable of identifying defects on the guava surface to determine its degree of quality.

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Index Terms

Computer Science
Information Sciences

Keywords

Guava Quality Classification System applied.

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