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Original Articles

Near-Infrared Spectroscopy for Classification of Oranges and Prediction of the Sugar Content

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Pages 644-658 | Received 18 May 2007, Accepted 16 Feb 2008, Published online: 19 May 2009

Figures & data

Figure 1 Experimental setup for the spectral measurement of orange juice.

Figure 1 Experimental setup for the spectral measurement of orange juice.

Figure 2 The original absorbance spectral curves of all samples.

Figure 2 The original absorbance spectral curves of all samples.

Figure 3 The spectral curves after Savitzky-Golay smoothing and MSC of all samples.

Figure 3 The spectral curves after Savitzky-Golay smoothing and MSC of all samples.

Figure 4 Principal component scores image (PC1 × PC2) of four varieties of oranges.

Figure 4 Principal component scores image (PC1 × PC2) of four varieties of oranges.

Table 1 Prediction results for unknown samples by BP neural network model

Figure 5 First five principal components calculated from the Shatangju spectral curve in the training set of PCA model.

Figure 5 First five principal components calculated from the Shatangju spectral curve in the training set of PCA model.

Figure 6 First five principal components calculated from the Huangyanbendizao orange spectral curve in the training set of PCA model.

Figure 6 First five principal components calculated from the Huangyanbendizao orange spectral curve in the training set of PCA model.

Figure 7 Loadings of first five principal components from the Shatangju across the entire spectral region.

Figure 7 Loadings of first five principal components from the Shatangju across the entire spectral region.

Figure 8 Loadings of first five principal components from the Huangyanbendizao across the entire spectral region.

Figure 8 Loadings of first five principal components from the Huangyanbendizao across the entire spectral region.

Figure 9 Vis/NIR calibration results of sugar content for 55 Shatangju samples from the PLS model.

Figure 9 Vis/NIR calibration results of sugar content for 55 Shatangju samples from the PLS model.

Figure 10 Vis/NIR prediction results of sugar content for 20 Shatangju samples from the PLS model.

Figure 10 Vis/NIR prediction results of sugar content for 20 Shatangju samples from the PLS model.

Figure 11 Vis/NIR calibration results of sugar content for 55 Huangyanbendizao samples from the PLS model.

Figure 11 Vis/NIR calibration results of sugar content for 55 Huangyanbendizao samples from the PLS model.

Figure 12 Vis/NIR prediction results of sugar content for 20 Huangyanbendizao samples from the PLS model.

Figure 12 Vis/NIR prediction results of sugar content for 20 Huangyanbendizao samples from the PLS model.

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