Quality parameters of six cultivars of blueberry using computer vision.

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dc.coverageDOI: 10.1155/2013/419535
dc.creatorMatiacevich, Silvia
dc.creatorCelis Cofré, Daniela
dc.creatorSilva, Patricia
dc.creatorEnrione, Javier
dc.creatorOsorio, Fernando
dc.date2013
dc.date.accessioned2025-11-18T19:47:17Z
dc.date.available2025-11-18T19:47:17Z
dc.description<p>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&lt;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.</p>eng
dc.descriptionBackground. 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 () 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.spa
dc.identifierhttps://investigadores.uandes.cl/en/publications/5eac648f-63a4-40cd-b05a-eb7e08833c3f
dc.identifier.urihttps://repositorio.uandes.cl/handle/uandes/54960
dc.languageeng
dc.rightsinfo:eu-repo/semantics/openAccess
dc.sourcevol.2013 (2013)
dc.titleQuality parameters of six cultivars of blueberry using computer vision.eng
dc.typeArticleeng
dc.typeArtículospa
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