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蘋(píng)果內(nèi)部品質(zhì)近紅外光譜檢測(cè)的異常樣本分析
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中國(guó)博士后科學(xué)基金資助項(xiàng)目(20080440614)


Outlier Sample Analysis on Near Infrared Spectroscopy Determination for Apple Interior Quality
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    摘要:

    應(yīng)用聲光可調(diào)諧濾光器近紅外光譜儀檢測(cè)蘋(píng)果內(nèi)部品質(zhì)(可溶性固形物含量,、總糖,、總酸和硬度)時(shí),綜合利用Cook距離、馬氏距離,、杠桿值和學(xué)生化殘差,判斷疑似異常樣本點(diǎn),然后用二審剔除判別法確定異常樣本點(diǎn)。最終可溶性固形物含量,、總糖、總酸模型都剔除了11個(gè)異常樣本,,硬度模型剔除了6個(gè)異常樣本,。其偏最小二乘回歸模型的相關(guān)系數(shù)分別從0.868、0.791,、0.443,、0.693提高到0.904、0.849,、0.501,、0.718,,校正誤差均方根(RMSEC)分別從0.882 °Brix,、9.213g/L、0.805g/L,、0.105MPa降低到0.733 °Brix,、7.300g/L、0.687g/L,、0.097 MPa,。所建的蘋(píng)果各品質(zhì)模型更加穩(wěn)定,準(zhǔn)確度更高,。

    Abstract:

    The interior quality of Shanxi ‘Fuji’ apple including soluble solid content (SSC), sugar content (SC), titrated acidity (TC) and firmness was determined by acousto-optic tunable filter (AOTF) near infrared (NIR) apparatus. The dubitable outlier samples were analyzed by Cook values, Mahalanobis, leverage and studentized residual. In order to avoiding falsely estimating outlier samples, twice-detection diagnosis method was applied to keep more valid samples. The estimated number of outlier samples for SSC, SC, TC and firmness were 11, 11, 11 and 6, respectively. After outlier samples elimination, the correlation coefficient (r) of SSC, SC, TC and firmness models were improved from 0.868, 0.791, 0.443, 0.693 to 0.904, 0.849, 0.501, 0.718, respectively. The RMSEC of SSC, SC, TC and firmness were decreased from 0.882 °Brix, 9.213g/L, 0.805g/L, 0.105MPa to 0.733 °Brix, 7.300g/L, 0.687g/L, 0.097MPa,,respectively. Moreover, the presented models of apple quality became more robust and stable.

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史波林,趙鐳,劉文,汪厚銀,朱大洲,尹京苑.蘋(píng)果內(nèi)部品質(zhì)近紅外光譜檢測(cè)的異常樣本分析[J].農(nóng)業(yè)機(jī)械學(xué)報(bào),2010,41(2):132-137. Shi Bolin, Zhao Lei, Liu Wen, Wang Houyin, Zhu Dazhou, Yin Jingyuan. Outlier Sample Analysis on Near Infrared Spectroscopy Determination for Apple Interior Quality[J]. Transactions of the Chinese Society for Agricultural Machinery,2010,41(2):132-137.

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