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Vol. 7 No. 1 (2016)
Julio-Diciembre

Articles

Ripeness determination in feijoa fruits by using a computer vision system and colour. information

https://doi.org/10.19053/20278306.v7.n1.2016.5603

  • Juan Pablo Bonilla-González
    • ,
  • Flavio Augusto Prieto-Ortiz

Juan Pablo Bonilla-González
Universidad Nacional de Colombia

Flavio Augusto Prieto-Ortiz
Universidad Nacional de Colombia

Abstract

Determine the ripeness of agricultural products generally depends on an analysis by human experts. The final decision on the state of maturity where the product is found, requires correlating some of their physical features with chemical and internal characteristics of the fruit. The need to preserve the integrity of the fruit on this analysis requires implementation of technologies to pass judgment on its condition without destroying it. The use of colour index, as physical property, contributes to solving this problem. In this document is presented a machine vision system to classify into three stages of maturity a specific exotic fruit: feijoa -Acca sellowiana-. The obtained classification using artificial intelligence tools, as these are artificial neural networks, have shown an adequate classification over 90% from 156 images of Feijoa fruit used in the study.

Keywords

Acca sellowiana, feijoa, pattern recognition, computer vision system.

PDF (Español)

Author Biography

Juan Pablo Bonilla-González

Ninguna

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