Study on Non-Destructive Detection Method of Kiwifruit Sugar Content Based on Hyperspectral Imaging Technology

Table 1. The statistical results of kiwi fruit sugar content measurement (unit: /°Brix)
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Table 1. The statistical results of kiwi fruit sugar content measurement (unit: /°Brix)
Data set Samples Min Max Mean S.D
Calibration set 90 9.50 18.10 13.17 1.93
Prediction set 30 10.40 16.50 13.56 1.52

Table 2. All-band ELM prediction model using different pretreatment methods

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Table 2. All-band ELM prediction model using different pretreatment methods

Pretreatment method	Number of hidden neurons	Calibration set		Prediction set
Pretreatment method	Number of hidden neurons	RMSEC	R_C	RMSEP	R_P
Raw valid data	92	1.076 2	0.673 4	1.126 0	0.539 9
SNV	72	1.418 2	0.410 2	1.414 9	0.342 1
MSC	71	1.345 7	0.469 0	1.154 7	0.561 8
DOSC	35	0.518 4	0.927 3	0.753 2	0.744 9

Table 3. The number of feature variables extracted by different feature extraction methods
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Table 3. The number of feature variables extracted by different feature extraction methods
Extraction method Variable number
CARS 49
SPA 9
IRIV 8
CARS+SPA 58
CARS+IRIV 55
(CARS+SPA)-SPA 11
(CARS+IRIV)-SPA 19

Table 4. PSO optimized parameters γ, σ²

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Table 4. PSO optimized parameters γ, σ²

Extraction method	Variable number	γ	σ²
CARS	49	178 232.022 6	2 315.787 8
SPA	9	24 689.722 8	4 419.308 9
IRIV	8	68 345.149 3	4 095.753 5
CARS+SPA	58	128 353.819 6	519.357 2
CARS+IRIV	55	66 321.544 4	3 244.478 3
(CARS+SPA)-SPA	11	213 051.988 1	2 541.380 7
(CARS+IRIV)-SPA	19	292 698.908 2	810.048 4

Table 5. Prediction results of SVR model established by different feature extraction methods

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Table 5. Prediction results of SVR model established by different feature extraction methods

Extraction method	Variable number	RMSEC	R_C	RMSEP	R_P	RPD
CARS	49	0.658 3	0.882 7	0.878 1	0.653 3	1.727 4
SPA	9	0.672 6	0.877 6	0.881 6	0.650 6	1.720 6
IRIV	8	0.652 5	0.884 8	0.858 2	0.668 8	1.767 4
CARS+SPA	58	0.659 5	0.882 3	0.886 6	0.646 6	1.710 9
CARS+IRIV	55	0.654 2	0.884 2	0.871 6	0.658 4	1.740 3
(CARS+SPA)-SPA	11	0.662 5	0.881 2	0.895 9	0.639 1	1.693 1
(CARS+IRIV)-SPA	19	0.666 6	0.879 7	0.883 1	0.649 4	1.717 7

Table 6. Prediction results of LSSVM model established by different feature extraction methods

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Table 6. Prediction results of LSSVM model established by different feature extraction methods

Extraction method	Variable number	RMSEC	R_C	RMSEP	R_P	RPD
CARS	49	0.451 5	0.944 8	0.834 8	0.686 7	1.817 0
SPA	9	0.637 3	0.890 1	0.874 5	0.656 2	1.734 5
IRIV	8	0.624 0	0.894 6	0.867 1	0.662 0	1.749 3
CARS+SPA	58	0.138 7	0.994 8	0.823 1	0.695 4	1.842 8
CARS+IRIV	55	0.471 9	0.939 7	0.824 8	0.694 1	1.839 0
(CARS+SPA)-SPA	11	0.580 5	0.908 8	0.870 7	0.659 1	1.742 1
(CARS+IRIV)-SPA	19	0.471 5	0.939 8	0.788 5	0.720 4	1.923 5

Table 7. Prediction results of ELM model established by different feature extraction methods

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Table 7. Prediction results of ELM model established by different feature extraction methods

Extraction method	Variable number	Number of hidden neurons	RMSEC	R_C	RMSEP	R_P	RPD
CARS	49	46	0.449 7	0.945 3	0.685 0	0.789 0	2.214 4
SPA	9	89	0.585 4	0.907 2	0.799 3	0.712 7	1.897 7
IRIV	8	86	0.557 3	0.916 0	0.796 8	0.714 5	1.903 6
CARS+SPA	58	50	0.466 6	0.941 1	0.637 2	0.817 4	2.380 4
CARS+IRIV	55	50	0.449 2	0.945 4	0.591 8	0.842 5	2.563 0
(CARS+SPA)-SPA	11	49	0.511 8	0.929 1	0.688 6	0.786 8	2.202 6
(CARS+IRIV)-SPA	19	92	0.450 3	0.945 1	0.598 3	0.839 0	2.535 1

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Li-jia XU, Ming CHEN, Yu-chao WANG, Xiao-yan CHEN, Xiao-long LEI. Study on Non-Destructive Detection Method of Kiwifruit Sugar Content Based on Hyperspectral Imaging Technology[J]. Spectroscopy and Spectral Analysis, 2021, 41(7): 2188

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Paper Information

Category: Research Articles

Received: Jul. 9, 2020

Accepted: --

Published Online: Sep. 8, 2021

The Author Email: XU Li-jia (xulijia@sicau.edu.cn)

DOI:10.3964/j.issn.1000-0593(2021)07-2188-08

Topics

laser devices and laser physics

Lasers and Laser Optics

Laser physics

laser manufacturing

Instrumentation, Measurement and Metrology

Table 1. The statistical results of kiwi fruit sugar content measurement (unit: /°Brix)

Table 1. The statistical results of kiwi fruit sugar content measurement (unit: /°Brix)

Table 2. All-band ELM prediction model using different pretreatment methods

Table 2. All-band ELM prediction model using different pretreatment methods

Table 3. The number of feature variables extracted by different feature extraction methods

Table 3. The number of feature variables extracted by different feature extraction methods

Table 4. PSO optimized parameters γ, σ2

Table 4. PSO optimized parameters γ, σ2

Table 5. Prediction results of SVR model established by different feature extraction methods

Table 5. Prediction results of SVR model established by different feature extraction methods

Table 6. Prediction results of LSSVM model established by different feature extraction methods

Table 6. Prediction results of LSSVM model established by different feature extraction methods

Table 7. Prediction results of ELM model established by different feature extraction methods

Table 7. Prediction results of ELM model established by different feature extraction methods

Table 4. PSO optimized parameters γ, σ²

Table 4. PSO optimized parameters γ, σ²