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Development of a Dual MOS Electronic Nose/Camera System for Improving Fruit Ripeness Classification

Electronic nose (E-nose) systems have become popular in food and fruit quality evaluation because of their rapid and repeatable availability and robustness. In this paper, we propose an E-nose system that has potential as a non-destructive system for monitoring variation in the volatile organic comp...

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Autores principales: Chen, Li-Ying, Wu, Cheng-Chun, Chou, Ting-I., Chiu, Shih-Wen, Tang, Kea-Tiong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6210299/
https://www.ncbi.nlm.nih.gov/pubmed/30262785
http://dx.doi.org/10.3390/s18103256
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author Chen, Li-Ying
Wu, Cheng-Chun
Chou, Ting-I.
Chiu, Shih-Wen
Tang, Kea-Tiong
author_facet Chen, Li-Ying
Wu, Cheng-Chun
Chou, Ting-I.
Chiu, Shih-Wen
Tang, Kea-Tiong
author_sort Chen, Li-Ying
collection PubMed
description Electronic nose (E-nose) systems have become popular in food and fruit quality evaluation because of their rapid and repeatable availability and robustness. In this paper, we propose an E-nose system that has potential as a non-destructive system for monitoring variation in the volatile organic compounds produced by fruit during the maturing process. In addition to the E-nose system, we also propose a camera system to monitor the peel color of fruit as another feature for identification. By incorporating E-nose and camera systems together, we propose a non-destructive solution for fruit maturity monitoring. The dual E-nose/camera system presents the best Fisher class separability measure and shows a perfect classification of the four maturity stages of a banana: Unripe, half-ripe, fully ripe, and overripe.
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spelling pubmed-62102992018-11-02 Development of a Dual MOS Electronic Nose/Camera System for Improving Fruit Ripeness Classification Chen, Li-Ying Wu, Cheng-Chun Chou, Ting-I. Chiu, Shih-Wen Tang, Kea-Tiong Sensors (Basel) Article Electronic nose (E-nose) systems have become popular in food and fruit quality evaluation because of their rapid and repeatable availability and robustness. In this paper, we propose an E-nose system that has potential as a non-destructive system for monitoring variation in the volatile organic compounds produced by fruit during the maturing process. In addition to the E-nose system, we also propose a camera system to monitor the peel color of fruit as another feature for identification. By incorporating E-nose and camera systems together, we propose a non-destructive solution for fruit maturity monitoring. The dual E-nose/camera system presents the best Fisher class separability measure and shows a perfect classification of the four maturity stages of a banana: Unripe, half-ripe, fully ripe, and overripe. MDPI 2018-09-27 /pmc/articles/PMC6210299/ /pubmed/30262785 http://dx.doi.org/10.3390/s18103256 Text en © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Chen, Li-Ying
Wu, Cheng-Chun
Chou, Ting-I.
Chiu, Shih-Wen
Tang, Kea-Tiong
Development of a Dual MOS Electronic Nose/Camera System for Improving Fruit Ripeness Classification
title Development of a Dual MOS Electronic Nose/Camera System for Improving Fruit Ripeness Classification
title_full Development of a Dual MOS Electronic Nose/Camera System for Improving Fruit Ripeness Classification
title_fullStr Development of a Dual MOS Electronic Nose/Camera System for Improving Fruit Ripeness Classification
title_full_unstemmed Development of a Dual MOS Electronic Nose/Camera System for Improving Fruit Ripeness Classification
title_short Development of a Dual MOS Electronic Nose/Camera System for Improving Fruit Ripeness Classification
title_sort development of a dual mos electronic nose/camera system for improving fruit ripeness classification
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6210299/
https://www.ncbi.nlm.nih.gov/pubmed/30262785
http://dx.doi.org/10.3390/s18103256
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