Quality Parameters of Six Cultivars of Blueberry Using Computer Vision
Joint Authors
Silva, Patricia
Matiacevich, Silvia
Celis Cofré, Daniela
Osorio, Fernando
Enrione, Javier
Source
International Journal of Food Science
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-04-09
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Engineering Sciences and Information Technology
Abstract EN
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.
American Psychological Association (APA)
Matiacevich, Silvia& Celis Cofré, Daniela& Silva, Patricia& Enrione, Javier& Osorio, Fernando. 2013. Quality Parameters of Six Cultivars of Blueberry Using Computer Vision. International Journal of Food Science،Vol. 2013, no. 2013, pp.1-8.
https://search.emarefa.net/detail/BIM-470751
Modern Language Association (MLA)
Matiacevich, Silvia…[et al.]. Quality Parameters of Six Cultivars of Blueberry Using Computer Vision. International Journal of Food Science No. 2013 (2013), pp.1-8.
https://search.emarefa.net/detail/BIM-470751
American Medical Association (AMA)
Matiacevich, Silvia& Celis Cofré, Daniela& Silva, Patricia& Enrione, Javier& Osorio, Fernando. Quality Parameters of Six Cultivars of Blueberry Using Computer Vision. International Journal of Food Science. 2013. Vol. 2013, no. 2013, pp.1-8.
https://search.emarefa.net/detail/BIM-470751
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-470751