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Optimal Illumination-Detection Distance and Detector Size for Predicting Braeburn Apple Maturity from Vis/NIR Laser Reflectance Measurements

机译:通过可见/近红外激光反射率测量预测Braeburn苹果成熟度的最佳照明检测距离和检测器尺寸

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The storage potential of apples highly depends on the maturity at harvest. Optical methods have been proposed to measure maturity in a fast, reliable and non-destructive way. However, the signal is often composed of photons with different penetration depths into the material. An attempt to separate these photons might result in more precise correlations with quality attributes, as these could relate to a specific layer/depth into the sample. Therefore, a Vis/NIR spatially resolved laser reflectance setup was used, combining a supercontinuum laser and a monochromator to illuminate samples with a monochrome focused beam in the 550-1000 nm wavelength range. A panchromatic camera was used to obtain diffuse reflectance profiles at each wavelength. In the period starting 50 days before until 11 days after commercial harvest, 320 Braeburn apples were measured. Partial least squares regression models were developed to relate apple maturity/quality to the diffuse reflectance spectra at different distances from the illumination point. The effect of detector size (spatial bandwidth) was also evaluated. A bandwidth of 0.82 mm in combination with a parameter specific illumination-detection distance, gave the best results. Using an internal test set, an R (2) of prediction of 0.98 and 0.93, and a ratio of prediction to performance (RPD) of 5.84 and 3.42, predicting, respectively, the Streif index and starch conversion values was obtained. The predictions of soluble solids content (SSC) (R (2) of 0.81; RPD of 2.04) and firmness (R (2) of 0.65; RPD of 1.66) were less accurate. Also, worse predictions were obtained using an external test set.
机译:苹果的储存潜力在很大程度上取决于收获时的成熟度。已经提出了光学方法以快速,可靠和无损的方式来测量成熟度。但是,信号通常由具有不同穿透深度的光子组成。尝试分离这些光子可能会导致与质量属性的更精确关联,因为它们可能与样品中的特定层/深度有关。因此,使用了Vis / NIR空间分辨激光反射率设置,将超连续谱激光器和单色仪组合在一起,以单色聚焦光束在550-1000 nm波长范围内照射样品。使用全色相机获得每个波长的漫反射率曲线。在开始商业收获前的50天到收获后的11天之间,测量了320个Braeburn苹果。开发了偏最小二乘回归模型,以将苹果的成熟度/质量与距照明点不同距离处的漫反射光谱相关。还评估了探测器尺寸(空间带宽)的影响。 0.82 mm的带宽与参数特定的照度检测距离相结合,可获得最佳结果。使用内部测试集,获得的R(2)预测值为0.98和0.93,预测的性能比(RPD)为5.84和3.42,分别预测了Streif指数和淀粉转化率值。可溶性固形物含量(SSC)(R(2)为0.81; RPD为2.04)和硬度(R(2)为0.65; RPD为1.66)的预测不太准确。此外,使用外部测试集会获得较差的预测。

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