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首页> 外文期刊>Journal of near infrared spectroscopy >Prediction of viability of oriental beechnuts, Fagus orientalis, using near infrared spectroscopy and partial least squares regression
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Prediction of viability of oriental beechnuts, Fagus orientalis, using near infrared spectroscopy and partial least squares regression

机译：使用近红外光谱和偏最小二乘回归预测东方山毛榉，东方扁豆的生存力

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Near infrared (NIR) spectroscopy, combined with multivariate calibration, was applied for determining viable and non-viable single oriental beechnuts. Initially, samples were sorted into viable and non-viable classes with X-ray and then NIR reflectance spectra were recorded on individual nuts using a fibre-optic probe. Calibration models were developed on raw and pretreated spectra with partial least squares (PLS) regression. Multiplicative signal correction (MSC) and orthogonal signal correction (OSC) were applied to remove systematic noise in the spectra. The resulting models separated viable and non-viable nuts in the test set with 100% accuracy. Moisture was the major source of spectral variation between viable and non-viable nuts, although lipid and protein moieties were also contributing factors for the separation of the two classes. We concluded that prediction models, based on fast and non-destructive NIR spectroscopy, have a high potential for the removal of non-viable nuts within oriental beechnut lots, thereby facilitating single nut sowing in the nursery.
机译：近红外（NIR）光谱技术与多元校准相结合，被用于确定可行和不可行的单个东方山毛榉。最初，使用X射线将样品分为可生存和不可生存类别，然后使用光纤探针将NIR反射光谱记录在单个螺母上。校正模型是在原始光谱和预处理光谱上开发的，具有偏最小二乘（PLS）回归。应用了乘法信号校正（MSC）和正交信号校正（OSC）来消除光谱中的系统噪声。生成的模型以100％的精度将测试集中的活动螺母和非活动螺母分开。水分是有生命力的坚果和无生命力的坚果之间的光谱变化的主要来源，尽管脂质和蛋白质部分也是造成这两类分离的因素。我们得出的结论是，基于快速和非破坏性NIR光谱的预测模型具有去除东方山毛榉批次中不可行坚果的巨大潜力，从而有利于在育苗场中播种单个坚果。

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