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洋梨硬度的便攜式可見(jiàn)/近紅外漫透射檢測(cè)技術(shù)
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Evaluation of European Pear (Pyrus communis L.) Firmness Based on Portable Vis/NIR Transmittance Technique
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    摘要:

    采用便攜式可見(jiàn)/近紅外檢測(cè)儀快速檢測(cè)阿巴特,、康佛倫斯和五九香梨硬度。采集洋梨漫透射光譜(500~1010nm),經(jīng)二階導(dǎo)數(shù)和卷積平滑處理后,,分別建立偏最小二乘法和多元線性回歸模型,。相關(guān)系數(shù)法和遺傳算法用于選擇偏最小二乘法建模變量,預(yù)測(cè)均方差分別為7.780N和8.080N,,相對(duì)預(yù)測(cè)誤差分別為26.24%和29.71%,。多元線性回歸模型使用7個(gè)變量,預(yù)測(cè)均方差和相對(duì)預(yù)測(cè)誤差分別為7.740N和26.10%,。結(jié)果表明:建立多品種洋梨硬度全局模型是可行的,,便攜式儀器可用于洋梨硬度現(xiàn)場(chǎng)檢測(cè)。

    Abstract:

    A portable visible (Vis)/near infrared (NIR) spectrometer was performed on pears (Pyrus communis L.) cv ‘Abate’, ‘Conference’ and ‘Wujiuxiang’ for firmness assessment by diffused transmittance technique. One set of 96 pears were used to explore the performance of this technique on developing global firmness models with partial least squares (PLS) and multiple linear regression (MLR) methods. The spectra were treated by 2nd order derivation with Savitsky–Golay (polynomial order 2, data point 25). Genetic algorithms partial least squares (GA-PLS) and regression coefficient method were used to select informative variable for PLS calibration. The global models were obtained by PLS to predict firmness yield the root mean standard error of prediction (RMSEP) of 7.780N and 8.080N, and the relative standard deviation of prediction (RSD) of 26.24% and 29.71%, respectively. The global model for firmness measurement was also obtained by MLR with RMSEP of 7.740N and RSD of 26.10%, respectively. The results highlight the potential of portable Vis/NIR instruments for assessing internal quality of European pear on-site.

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王加華,陳卓,李振茹,韓東海.洋梨硬度的便攜式可見(jiàn)/近紅外漫透射檢測(cè)技術(shù)[J].農(nóng)業(yè)機(jī)械學(xué)報(bào),2010,41(11):129-133. Evaluation of European Pear (Pyrus communis L.) Firmness Based on Portable Vis/NIR Transmittance Technique[J]. Transactions of the Chinese Society for Agricultural Machinery,2010,41(11):129-133.

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