| Summary: | 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.
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