Quality Parameters of Six Cultivars of Blueberry Using Computer Vision

• Main Authors: Silvia Matiacevich, Daniela Celis Cofré, Patricia Silva, Javier Enrione, Fernando Osorio
• Format: Article
• Language: English
• Published: Hindawi Limited 2013-01-01
• Series: International Journal of Food Science
• Online Access: http://dx.doi.org/10.1155/2013/419535

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.