翠冠梨坚实度可见/近红外光谱在线检测
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国家星火计划资助项目(2010GA700024)


On-line Detection of Firmness of ‘Cuiguan’ Pear Using Visible/Near Infrared Spectrum
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    摘要:

    采用可见/近红外光谱技术对翠冠梨的坚实度进行在线检测研究,并对不同预处理方法和不同平滑点数的影响进行研究。试验采用USB4000微型光纤光谱仪在0.5m/s的水果运动速度下采集翠冠梨的透射光谱,并应用偏最小二乘(PLS)算法建立预测模型。试验样品为176个,119个样品作为校正集,57个样品作为预测集。研究结果表明,应用可见/近红外光谱技术检测翠冠梨的坚实度是可行的,确定580~840nm为较合适的建模波段;光谱经一阶微分和变量标准化(SNV)处理后建立的预测模型性能最优,其相关系数R为0.820,校正标准差为2.50N,预测标准差为3.02N;对于S-G平滑处理,5点S-G平滑的效果最好,其相关系数R为0.848,校正标准差为2.31N,预测标准差为2.85N。

    Abstract:

    The objective of this research was to measure firmness of‘Cuiguan’ pears on-line by using visible/near infrared spectrum, also the effect of different pretreatment methods and different points of smoothness on calibration performance were studied. The spectrometer of USB4000 was used to acquire the spectra of ‘Cuiguan’ pears at fruit moving speed of 0.5m/s, and partial least squares (PLS) was used to develop calibration. The total number of samples used was 176, and 119 samples were used as calibration set, 57 samples were used as validation set. The results indicated that it was feasible to measure firmness of ‘Cuiguan’ pears by using visible/near infrared spectrum, and wavelength range of 580~840nm was suitable for calibration. The best calibration performance was obtained when using spectra pretreated by first derivative combined with SNV, the correlation coefficient, root mean square error of calibration (RMSEC) and root mean square error of validation (RMSEP) were 0.820, 2.50N and 3.02N, respectively. For Savitzky-Golay method, the five data points obtained the best calibration, the correlation coefficient, RMSEC and RMSEP were 0.848, 2.31N and 2.85N, respectively.

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马广,孙通.翠冠梨坚实度可见/近红外光谱在线检测[J].农业机械学报,2013,44(7):170-173.

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  • 在线发布日期: 2013-06-20
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