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In-field Vis/NIR hyperspectral imaging to measure soluble solids content of wine grape berries during ripening

机译:现场VIR / NIR高光谱成像,以测量成熟期间葡萄酒葡萄浆果的可溶性固体含量

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Monitoring the quality attributes of grapes is a practice that allows to check the grapes’ state of ripeness and to decide when it is appropriate to proceed with the harvest. In the present study, a non-destructive method based on hyperspectral imaging (HSI) technology was developed. Analyses were carried out directly in the field using a Vis/NIR (400–1000 nm) hyperspectral camera (HSC) between the rows of ‘Sangiovese’ (Vitis vinifera L.) vineyard destined for wine production. One vineyard row was analyzed on 13 different days. During the trials, 33 berries were collected and the soluble solids content (SSC) expressed in terms of °Brix (°Bx) was measured by a portable digital refractometer. The mean spectra of the selected berries were extracted from each hyperspectral (HS) image. The pre-treated mean spectra were used to predict the SSC of the berries by means of partial least squares (PLS) regression, obtaining a value of R2 = 0.75 in cross-validation, with RMSECV = 0.84 °Bx. The present study shows the potential of the use of HSI technology directly in the field through proximal measurements under natural light conditions for the prediction of the SSC quality attribute of grapes.
机译:监视葡萄的质量属性是一种允许检查葡萄的成熟状态并决定何时适合进行收获的实践。在本研究中,开发了一种基于高光谱成像(HSI)技术的非破坏性方法。通过在“Sangiovese”(葡萄干Vinifera L.)葡萄园之间的VI / NIR(400-1000nm)高光谱相机(HSC)直接在现场进行分析。 13个不同的日子分析了一个葡萄园行。在试验期间,收集33个浆果,并通过便携式数字折射仪测量以°Brix(°Bx)表示的可溶性固体含量(SSC)。从每个高光谱(HS)图像中提取所选浆果的平均光谱。预处理的平均光谱用于通过偏最小二乘(PLS)回归来预测浆果的SSC,获得R的值 2 交叉验证= 0.75,RMSECV = 0.84°BX。本研究表明,通过在自然光线条件下通过近端测量在现场使用HSI技术的潜力,用于预测葡萄的SSC质量属性。

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