See a recording of our webinar on non-contact prediction of Brix in blueberries using the MV.C NIR Hyperspectral Sensor with the perClass MIRA Scanning Stage. Originally hosted on 2 November 2023
Blueberries are native to North America and were first cultivated for sale in 1916 (USHBC, 2014). The United States is the world’s largest producer of blueberries (FAOSTAT 2016). During 2016, just in the United States alone, a total of 690 million pounds (312,978 metric tons) of cultivated and wild blueberries were produced and utilized (NASS 2020).1
Outside the US, Peru is the largest producing country, followed by Chile, Mexico and Argentina. In Europe, Spain produced 48,520 metric tons (106,968,376 pounds) and Germany produced 11,300 metric tons (24,912,255 pounds)in 2020.2
They are a diverse species with different varieties having wildly different flavor profiles. Often, earlier blooming varieties are sweeter, and good for snacking, while later season varieties are more tart, and preferred for baking.
Traditionally, blueberries are inspected manually, looking for defects, unripe berries, or bruising. The sweetness of the berries is oftentimes measured via destructive methods. With Headwall’s hyperspectral imaging (HSI) technology, blueberries can be inspected based on their condition, and their Brix value can be predicted, allowing for a non-destructive, rapid measurement of large quantities of berries, with results in real time. Hyperspectral imaging allows growers to assign value based on rapid, accurate grading.
Headwall’s hyperspectral imagers paired with the perClass Mira Stage and Software allow users to rapidly build and update classification and regression models. The perClass Mira models extract actionable information in real-time. These can be used on offline quality test stands, inline at packing/processing plants, or in a lab. This allows producers to better grade blueberries and assign value based on product quality.
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