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基于多元校正法的香梨糖度可見/近紅外光譜檢測
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Multivariate Approach to Determinate Sugar Content of Fragrant Pears with Temperature Variation by Visible/NIR Spectroscopy
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    摘要:

    應(yīng)用可見/近紅外光譜透射技術(shù)結(jié)合多元校正法探討了樣品在不同溫度條件(5、10、15、20℃)下香梨糖度的快速無損檢測。在波長500~900nm范圍內(nèi)，用逐步多元線性回歸(SMLR)、偏最小二乘法(PLS)、最小二乘支持向量機(jī)(LS-SVM1、LS-SVM2)和遺傳算法-偏最小二乘法(GA-PLS)等多種多元校正法進(jìn)行了建模預(yù)測比較研究。預(yù)測結(jié)果從優(yōu)到差依次為LS-SVM2、LS-SVM1、GA-PLS、PLS、SMLR。

    Abstract:

    Nondestructive determination of sugar content (SC) of fragrant pears with temperature variation （5℃，10℃，15℃ and 20℃）was studied by visibleNIR spectroscopy coupled with multivariate calibration methods. In the region of 500~900 nm, five multivariate calibration models: stepwise multiple linear regression (SMLR), partial least squares (PLS), least squaressupport vector machines (LS-SVM1, only 30 bands spectral data obtained by SMLR analysis inputted as X variable), LS-SVM2 (both 30 bands spectral data and sample temperature inputted as X variable) and genetic algorithmpartial least squares (GA-PLS) were compared. The results showed that the prediction performance was in the order of LS-SVM2, LS-SVM1, GA-PLS, PLS and SMLR.

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徐惠榮,陳曉偉,應(yīng)義斌.基于多元校正法的香梨糖度可見/近紅外光譜檢測[J].農(nóng)業(yè)機(jī)械學(xué)報,2010,41(12):126-. Xu Huirong, Chen Xiaowei, Ying Yibin. Multivariate Approach to Determinate Sugar Content of Fragrant Pears with Temperature Variation by Visible/NIR Spectroscopy[J]. Transactions of the Chinese Society for Agricultural Machinery,2010,41(12):126-.

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