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This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Article
Papaya (Carica papaya) Classification by Software
Author(s)
Juliana Aparecida Fracarolli, Inácio Maria Dal Fabbro and Ingrid Nehmi de Oliveira
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DOI:10.17265/2161-6264/2017.04.004
Affiliation(s)
School of Agricultural Engineering, University of Campinas, Campinas, SP 13083-875, Brazil
ABSTRACT
In this paper, it suggested the
selection of papayas by image processing employing low-cost equipment for data acquisition. This may allow the process
automation selection and classification
of agricultural products for small farmers or
small traders. The objective of this work was to evaluate two papaya varieties (“Solo” and “Formosa”) using image
programs for selection of miscellaneous format detection and fruit mapping
coloration. The experiment occurred at an optic laboratory and it used a diffused light, camera, computer and papaya fruits, and for image processing, the ImageJ software, in addition to
computer programs that have been developed for image processing. The detection of
varied sizes and the fruit
classification by mapping color were conducted using the software. The program for
evaluating the two varieties format worked with 100% of the fruits and the one
for mapping coloration with 80% correct results. These results showed that the program had low error and could be used for fruit
selection.
KEYWORDS
Fruit classification, image processing, machine vision, quality.
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