Prediction of Soluble Solids Content for Wine Grapes During Maturing Based on Visible and Near-Infrared Spectroscopy

Fig. 2. The absorbance spectra of grape berries

Fig. 3. The absorbance spectra of canopy leaves of grape

Fig. 4. PCA score plot of Chardonnay grape

Fig. 5. Results of calibration and validation of SSC prediction model for Chardonnay grape

Fig. 6. Results of calibration and validation of SSC prediction model for Petit Manseng grape

Fig. 7. Results of calibration and validation of SSC prediction model for Merlot grape

Fig. 8. Results of calibration and validation of SSC prediction model for Cabernet Sauvignon grape

Fig. 9. Results of calibration and validation of SSC prediction model for Cabernet Franc grape

Fig. 10. Results of calibration and validation of SSC prediction model for Chardonnay leaves

Fig. 11. Results of calibration and validation of SSC prediction model for Petit Manseng leaves

Fig. 12. Results of calibration and validation of SSC prediction model for Merlot leaves

Fig. 13. Results of calibration and validation of SSC prediction model for Cabernet Sauvignon leaves

Fig. 14. Results of calibration and validation of SSC prediction model for Cabernet Franc leaves

Table 1. Statistics results of SSC of sample sets

Table 1. Statistics results of SSC of sample sets

样品名称	类别	样品子集	样本数量	范围/%	均值 /%	标准误差/%
霞多丽	浆果	校正集	64	17.0~22.9	19.76	0.78
霞多丽	浆果	验证集	21	18.4~20.8	19.72	0.66
小芒森	浆果	校正集	64	19.9~23.4	21.67	0.72
小芒森	浆果	验证集	20	20.5~22.6	21.55	0.63
梅洛	浆果	校正集	66	17.0~22.9	20.22	1.03
梅洛	浆果	验证集	22	18.3~22.2	20.50	1.00
赤霞珠	浆果	校正集	60	19.1~20.9	20.17	0.46
赤霞珠	浆果	验证集	20	18.8~21.3	20.05	0.64
品丽珠	浆果	校正集	66	17.2~21.3	19.67	0.80
品丽珠	浆果	验证集	22	18.0~21.2	19.53	0.78
霞多丽	叶片	校正集	50	18.0~21.4	19.54	0.72
霞多丽	叶片	验证集	16	18.5~21.3	19.71	0.56
小芒森	叶片	校正集	50	19.9~23.6	21.87	1.03
小芒森	叶片	验证集	17	20.8~23.0	21.81	0.56
梅洛	叶片	校正集	53	17.2~23.7	20.47	1.54
梅洛	叶片	验证集	16	19.5~22.8	20.56	0.91
赤霞珠	叶片	校正集	49	18.1~23.2	20.12	1.03
赤霞珠	叶片	验证集	15	18.6~21.4	19.83	0.79
品丽珠	叶片	校正集	53	18.1~21.2	19.61	0.73
品丽珠	叶片	验证集	17	18.8~20.7	19.85	0.55

Table 2. Comparison of PLS prediction models with four different pretreatment methods

Table 2. Comparison of PLS prediction models with four different pretreatment methods

样品种类	预处理方法	PCS	校正集		验证集
样品种类	预处理方法	PCS	R_C	RMSEC	R_V	RMSEV
霞多丽	S-G	2	0.72	0.76	0.73	0.64
	S-G+FD	2	0.78	0.49	0.83	0.40
	S-G+SNV+FD	2	0.83	0.44	0.85	0.36
	S-G+MSC+FD	3	0.93	0.30	0.86	0.36
小芒森	S-G	4	0.61	0.58	0.41	0.63
	S-G+FD	3	0.95	0.22	0.86	0.33
	S-G+SNV+FD	3	0.95	0.22	0.86	0.33
	S-G+MSC+FD	3	0.95	0.22	0.86	0.30
梅洛	S-G	7	0.73	0.70	0.76	0.70
	S-G+FD	7	1.00	0.09	0.83	0.54
	S-G+SNV+FD	4	0.96	0.30	0.88	0.48
	S-G+MSC+FD	5	0.96	0.29	0.88	0.48
赤霞珠	S-G	4	0.91	0.19	0.87	0.35
	S-G+FD	1	0.93	0.18	0.85	0.37
	S-G+SNV+FD	2	0.97	0.12	0.88	0.31
	S-G+MSC+FD	7	0.98	0.02	0.82	0.40
品丽珠	S-G	6	0.71	0.56	0.67	0.33
	S-G+FD	3	0.81	0.37	0.71	0.66
	S-G+SNV+FD	4	0.93	0.27	0.81	0.37
	S-G+MSC+FD	4	0.96	0.22	0.86	0.44

Table 3. Comparison of PLS prediction models with four different pretreatment methods

Table 3. Comparison of PLS prediction models with four different pretreatment methods

样品种类	预处理方法	PCS	校正集		验证集
样品种类	预处理方法	PCS	R_C	RMSEC	R_V	RMSEV
霞多丽	S-G	1	0.69	0.65	0.36	0.79
	S-G+FD	1	0.70	0.52	0.55	0.68
	S-G+SNV+FD	1	0.71	0.66	0.61	0.55
	S-G+MSC+FD	1	0.76	0.46	0.67	0.44
小芒森	S-G	2	0.61	0.96	0.41	0.75
	S-G+FD	3	0.66	0.83	0.59	0.70
	S-G+SNV+FD	2	0.75	0.79	0.60	0.58
	S-G+MSC+FD	2	0.80	0.61	0.66	0.48
梅洛	S-G	1	0.62	0.70	0.52	0.97
	S-G+FD	2	0.72	0.69	0.61	0.86
	S-G+SNV+FD	2	0.72	0.90	0.61	0.80
	S-G+MSC+FD	2	0.78	0.96	0.66	0.75
赤霞珠	S-G	1	0.47	1.26	0.51	1.27
	S-G+FD	2	0.61	0.99	0.61	0.99
	S-G+SNV+FD	1	0.70	0.86	0.62	0.77
	S-G+MSC+FD	1	0.73	0.71	0.69	0.70
品丽珠	S-G	3	0.60	0.90	0.41	1.65
	S-G+FD	2	0.69	0.77	0.59	0.99
	S-G+SNV+FD	2	0.71	0.59	0.60	0.75
	S-G+MSC+FD	2	0.78	0.46	0.65	0.44

Table 4. External validation results of samples of berry and canopy leaves