Cargando…
Quality Parameters of Six Cultivars of Blueberry Using Computer Vision
Background. Blueberries are considered an important source of health benefits. This work studied six blueberry cultivars: “Duke,” “Brigitta”, “Elliott”, “Centurion”, “Star,” and “Jewel”, measuring quality parameters such as °Brix, pH, moisture content using standard techniques and shape, color, and...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2013
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4745542/ https://www.ncbi.nlm.nih.gov/pubmed/26904598 http://dx.doi.org/10.1155/2013/419535 |
_version_ | 1782414670977564672 |
---|---|
author | Matiacevich, Silvia Celis Cofré, Daniela Silva, Patricia Enrione, Javier Osorio, Fernando |
author_facet | Matiacevich, Silvia Celis Cofré, Daniela Silva, Patricia Enrione, Javier Osorio, Fernando |
author_sort | Matiacevich, Silvia |
collection | PubMed |
description | Background. Blueberries are considered an important source of health benefits. This work studied six blueberry cultivars: “Duke,” “Brigitta”, “Elliott”, “Centurion”, “Star,” and “Jewel”, measuring quality parameters such as °Brix, pH, moisture content using standard techniques and shape, color, and fungal presence obtained by computer vision. The storage conditions were time (0–21 days), temperature (4 and 15°C), and relative humidity (75 and 90%). Results. Significant differences (P < 0.05) were detected between fresh cultivars in pH, °Brix, shape, and color. However, the main parameters which changed depending on storage conditions, increasing at higher temperature, were color (from blue to red) and fungal presence (from 0 to 15%), both detected using computer vision, which is important to determine a shelf life of 14 days for all cultivars. Similar behavior during storage was obtained for all cultivars. Conclusion. Computer vision proved to be a reliable and simple method to objectively determine blueberry decay during storage that can be used as an alternative approach to currently used subjective measurements. |
format | Online Article Text |
id | pubmed-4745542 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Hindawi Publishing Corporation |
record_format | MEDLINE/PubMed |
spelling | pubmed-47455422016-02-22 Quality Parameters of Six Cultivars of Blueberry Using Computer Vision Matiacevich, Silvia Celis Cofré, Daniela Silva, Patricia Enrione, Javier Osorio, Fernando Int J Food Sci Research Article Background. Blueberries are considered an important source of health benefits. This work studied six blueberry cultivars: “Duke,” “Brigitta”, “Elliott”, “Centurion”, “Star,” and “Jewel”, measuring quality parameters such as °Brix, pH, moisture content using standard techniques and shape, color, and fungal presence obtained by computer vision. The storage conditions were time (0–21 days), temperature (4 and 15°C), and relative humidity (75 and 90%). Results. Significant differences (P < 0.05) were detected between fresh cultivars in pH, °Brix, shape, and color. However, the main parameters which changed depending on storage conditions, increasing at higher temperature, were color (from blue to red) and fungal presence (from 0 to 15%), both detected using computer vision, which is important to determine a shelf life of 14 days for all cultivars. Similar behavior during storage was obtained for all cultivars. Conclusion. Computer vision proved to be a reliable and simple method to objectively determine blueberry decay during storage that can be used as an alternative approach to currently used subjective measurements. Hindawi Publishing Corporation 2013 2013-04-09 /pmc/articles/PMC4745542/ /pubmed/26904598 http://dx.doi.org/10.1155/2013/419535 Text en Copyright © 2013 Silvia Matiacevich et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Matiacevich, Silvia Celis Cofré, Daniela Silva, Patricia Enrione, Javier Osorio, Fernando Quality Parameters of Six Cultivars of Blueberry Using Computer Vision |
title | Quality Parameters of Six Cultivars of Blueberry Using Computer Vision |
title_full | Quality Parameters of Six Cultivars of Blueberry Using Computer Vision |
title_fullStr | Quality Parameters of Six Cultivars of Blueberry Using Computer Vision |
title_full_unstemmed | Quality Parameters of Six Cultivars of Blueberry Using Computer Vision |
title_short | Quality Parameters of Six Cultivars of Blueberry Using Computer Vision |
title_sort | quality parameters of six cultivars of blueberry using computer vision |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4745542/ https://www.ncbi.nlm.nih.gov/pubmed/26904598 http://dx.doi.org/10.1155/2013/419535 |
work_keys_str_mv | AT matiacevichsilvia qualityparametersofsixcultivarsofblueberryusingcomputervision AT celiscofredaniela qualityparametersofsixcultivarsofblueberryusingcomputervision AT silvapatricia qualityparametersofsixcultivarsofblueberryusingcomputervision AT enrionejavier qualityparametersofsixcultivarsofblueberryusingcomputervision AT osoriofernando qualityparametersofsixcultivarsofblueberryusingcomputervision |