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Analysis of Guava Quality by Image Processing

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Year of Publication: 2016
Matheus Pedroza Ferreira, Glêndara A. De S. Martins, Warley Gramacho Da Silva

Matheus Pedroza Ferreira, Glêndara De A S Martins and Warley Gramacho Da Silva. Analysis of Guava Quality by Image Processing. International Journal of Computer Applications 156(3):30-36, December 2016. BibTeX

	author = {Matheus Pedroza Ferreira and Glêndara A. De S. Martins and Warley Gramacho Da Silva},
	title = {Analysis of Guava Quality by Image Processing},
	journal = {International Journal of Computer Applications},
	issue_date = {December 2016},
	volume = {156},
	number = {3},
	month = {Dec},
	year = {2016},
	issn = {0975-8887},
	pages = {30-36},
	numpages = {7},
	url = {},
	doi = {10.5120/ijca2016912404},
	publisher = {Foundation of Computer Science (FCS), NY, USA},
	address = {New York, USA}


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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Guava, Quality, Classification, System applied.