Quality parameters of six cultivars of blueberry using computer vision.

Silvia Matiacevich*, Daniela Celis Cofré, Patricia Silva, Javier Enrione, Fernando Osorio

*Autor correspondiente de este trabajo

Resultado de la investigación: Contribución a una revistaArtículorevisión exhaustiva

25 Citas (Scopus)

Resumen

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 () 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.
Idioma originalInglés
Número de artículo419535
PublicaciónInternational Journal of Food Science
Volumen2013
DOI
EstadoPublicada - 2013

Nota bibliográfica

Publisher Copyright:
© 2013 Silvia Matiacevich et al.

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