Image analysis for automatic feature estimation of the Mangifera indica fruit

Authors

  • German Sanchez Torres Professor, Universidad del Magdalena, Santa Marta (Colombia). Research and Development Group in New Information and Communication Technologies (GIDTIC). PhD in Systems Engineering, Universidad Nacional de Colombia.
  • Deimer Ballesteros Padilla Electronic Engineer, Universidad del Magdalena, Santa Marta (Colombia). Support and Development Engineer, Infrastructure for Information Technologies, S.A.
  • Adolfo Moreno Bermúdez Electronic Engineer, Universidad del Magdalena, Santa Marta (Colombia). Support and Development Engineer, Process Automation and Integrated Services, S.A

Abstract

Determination of fruit features such as weight, level of maturity and level of spots is an essential step to fulfill export requirements. This paper presents a methodology to estimate these characteristics from a set of images obtained from mango fruits. The methods for determining the level of maturity and level of spots showed an overall accuracy above 90%, while the error margin for the weight determination process did not exceed 6 grams.

Author Biography

  • German Sanchez Torres, Professor, Universidad del Magdalena, Santa Marta (Colombia). Research and Development Group in New Information and Communication Technologies (GIDTIC). PhD in Systems Engineering, Universidad Nacional de Colombia.

    Docente asistente

    Facultad de Ingenieria

    Programa de Ingenieria de Sistemas

    Universidad del Magdalena

Downloads

Published

2013-07-06

Issue

Vol. 31 No. 1 (2013): January - June

Section

Articles

How to Cite

[1]
“Image analysis for automatic feature estimation of the Mangifera indica fruit”, Ing. y Des., vol. 31, no. 1, pp. 84–104, Jul. 2013, Accessed: Feb. 11, 2026. [Online]. Available: https://rcientificas.uninorte.edu.co/index.php/ingenieria/article/view/4467