Mobile Computational Vision System in the Identification of White Quinoa Quality

Quinoa is currently in high commercial demand due to its large benefits and vitamin components. The process of selecting this grain is mostly done manually, being prone to errors, because many times this work is subject to fatigue and to subjective criteria of those in charge, causing the quality to...

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Veröffentlicht in:International journal of advanced computer science & applications 2021, Vol.12 (8)
Hauptverfasser: Lecca-Pino, Percimil, Tafur-Vera, Daniel, Cabanillas-Carbonell, Michael, Salazar, José Luis Herrera, Medina-Rafaile, Esteban
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container_issue 8
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container_title International journal of advanced computer science & applications
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creator Lecca-Pino, Percimil
Tafur-Vera, Daniel
Cabanillas-Carbonell, Michael
Salazar, José Luis Herrera
Medina-Rafaile, Esteban
description Quinoa is currently in high commercial demand due to its large benefits and vitamin components. The process of selecting this grain is mostly done manually, being prone to errors, because many times this work is subject to fatigue and to subjective criteria of those in charge, causing the quality to decrease due to not making an adequate selection subject to standards. For this reason, a study focused on determining the influence of the computer vision system for the identification of the quality of white quinoa, based on the standards and techniques for the development of a computer vision system through the phases of PDI. Managing to determine the influence of this, concluding that it is possible to ensure the implementation of robust systems to solve problems by applying computer vision thanks to technological advances for mobile devices.
doi_str_mv 10.14569/IJACSA.2021.0120850
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source Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals
subjects Computer vision
Electronic devices
Mobile computing
Quinoa
Vision systems
title Mobile Computational Vision System in the Identification of White Quinoa Quality
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