Robustness of Global Model of Soluble Solids in Gongli Pear Based on Near-Infrared Spectroscopy

Yan-de LIU; Jun LIAO; Bin LI; Xiao-gang JIANG; Ming-wang ZHU; Jin-liang YAO; Qiu WANG

doi:10.3964/j.issn.1000-0593(2022)09-2781-07

Spectroscopy and Spectral Analysis, Volume. 42, Issue 9, 2781(2022)

Robustness of Global Model of Soluble Solids in Gongli Pear Based on Near-Infrared Spectroscopy

Yan-de LIU*... Jun LIAO, Bin LI, Xiao-gang JIANG, Ming-wang ZHU, Jin-liang YAO and Qiu WANG |Show fewer author(s)

School of Electromechanical and Vehicle Engineering, East China Jiaotong University, Institute of Intelligent Electromechanical Equipment Innovation, Nanchang 330013, China

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Fig. 1. Schematic diagram of on-line detection equipment for fruit internal quality by near infrared diffuse transmission spectroscopy
1: Porximity switch; 2: Coding mask; 3: Chain wheel; 4: Link chain; 5: Optica fiber; 6: Camera bellows; 7: Optical source; 8: Specimen; 9: Terminal PC; 10: PLC control cabinet; 11: Fruit cup; 12: Bionic boot; 13: Grading export; 14: Electromotor; 15: Reducer; 16: Drive sprocket

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Fig. 2. Diffuse transmission testing mechanism (a), Gongli placement position (b)

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Fig. 3. Establishment of local model and global model and experimental verification scheme

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Fig. 4. Average spectra of fruit No.11 in six directions

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Fig. 5. Scatter plot of omnidirectional verification

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Table 1. Range, standard deviation and average value of SSC content in calibration set and prediction set
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Table 1. Range, standard deviation and average value of SSC content in calibration set and prediction set
Parameter Data set Samples Mean S.D Range
SSC/
(°Brix) Calibration 115 12.06 1.05 9.53~14.70
Prediction 35 12.09 0.93 9.60~13.37

Table 2. Local model and local prediction effect in six directions

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Table 2. Local model and local prediction effect in six directions

Orientation	Pretreatment	Calibration		Prediction
Orientation	Pretreatment	R_c	RMSEC	R_p	RMSEP
A1	Raw	0.916	0.406	0.870	0.456
	SGS	0.870	0.497	0.873	0.453
	MSC	0.886	0.468	0.839	0.503
	GFS	0.898	0.443	0.873	0.452
A2	Raw	0.987	0.151	0.898	0.327
	SGS	0.955	0.280	0.869	0.374
	MSC	0.938	0.327	0.879	0.398
	GFS	0.982	0.175	0.897	0.331
A3	Raw	0.922	0.377	0.919	0.363
	SGS	0.900	0.424	0.856	0.339
	MSC	0.913	0.397	0.885	0.315
	GFS	0.913	0.397	0.872	0.342
A4	Raw	0.961	0.278	0.871	0.399
	SGS	0.922	0.387	0.883	0.375
	MSC	0.965	0.262	0.865	0.402
	GFS	0.950	0.311	0.880	0.386
A5	Raw	0.945	0.301	0.863	0.384
	SGS	0.892	0.414	0.846	0.407
	MSC	0.932	0.333	0.896	0.344
	GFS	0.930	0.337	0.859	0.389
A6	Raw	0.835	0.527	0.794	0.508
	SGS	0.825	0.542	0.794	0.509
	MSC	0.910	0.402	0.762	0.542
	GFS	0.831	0.534	0.794	0.508

Table 3. Global model and prediction effect of A3, A4 and A5 directions
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Table 3. Global model and prediction effect of A3, A4 and A5 directions
Orientation Pretreatment LVs Calibration Prediction
A1 A2 A3
R_c RMSEC R_p RMSEP R_p RMSEP R_p RMSEP
Omnidirectional Raw 16 0.844 0.406 0.810 0.497 0.766 0.523 0.792 0.479
GFS 16 0.828 0.424 0.818 0.446 0.765 0.525 0.799 0.478

Table 4. Global model and prediction effect of A4, A5 and A6 directions
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Table 4. Global model and prediction effect of A4, A5 and A6 directions
Orientation Pretreatment LVs Calibration Prediction
A4 A5 A6
R_c RMSEC R_p RMSEP R_p RMSEP R_p RMSEP
Omnidirectional Raw 16 0.844 0.406 0.801 0.538 0.785 0.492 0.821 0.612
GFS 16 0.828 0.424 0.821 0.538 0.794 0.486 0.824 0.619

Table 5. Prediction effects of local model and global model on A1, A2 and A3 direction validation sets

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Table 5. Prediction effects of local model and global model on A1, A2 and A3 direction validation sets

Orientation	LVs	Calibration		Prediction
		Calibration		A1		A2		A3
		R_c	RMSEC	R_p	RMSEP	R_p	RMSEP	R_p	RMSEP
Omnidirectional	16	0.828	0.424	0.818	0.446	0.765	0.525	0.799	0.478
A1	13	0.898	0.443	0.873	0.452	0.182	1.431	0.731	0.816
A2	14	0.982	0.175	NA	0.336	0.897	0.331	0.765	0.914
A3	9	0.913	0.397	NA	13.972	NA	3.493	0.872	0.342
A4	12	0.950	0.311	0.328	0.410	0.532	1.735	0.814	0.545
A5	14	0.930	0.337	NA	0.134	0.552	1.058	0.797	0.633
A6	7	0.831	0.534	0.348	0.330	NA	1.133	0.794	0.056

Table 6. Prediction effects of local model and global model on A4, A5 and A6 direction validation sets

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Table 6. Prediction effects of local model and global model on A4, A5 and A6 direction validation sets

Orientation	LVs	Calibration		Prediction
		Calibration		A4		A5		A6
		R_c	RMSEC	R_p	RMSEP	R_p	RMSEP	R_p	RMSEP
Omnidirectional	16	0.828	0.424	0.821	0.538	0.794	0.486	0.824	0.619
A1	13	0.898	0.443	0.684	0.767	0.490	1.015	0.372	0.089
A2	14	0.982	0.175	NA	1.196	NA	2.024	NA	1.618
A3	9	0.913	0.397	0.714	0.791	0.471	1.564	0.709	0.820
A4	12	0.950	0.311	0.880	0.386	0.153	2.144	0.190	1.946
A5	14	0.930	0.337	0.752	0.650	0.859	0.389	0.722	0.659
A6	7	0.831	0.534	0.728	0.632	0.827	0.537	0.794	0.508

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Yan-de LIU, Jun LIAO, Bin LI, Xiao-gang JIANG, Ming-wang ZHU, Jin-liang YAO, Qiu WANG. Robustness of Global Model of Soluble Solids in Gongli Pear Based on Near-Infrared Spectroscopy[J]. Spectroscopy and Spectral Analysis, 2022, 42(9): 2781

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Paper Information

Category: Research Articles

Received: Jul. 17, 2021

Accepted: Oct. 10, 2021

Published Online: Nov. 17, 2022

The Author Email: LIU Yan-de (jxliuyd@163.com)

DOI:10.3964/j.issn.1000-0593(2022)09-2781-07

Topics

laser devices and laser physics

Lasers and Laser Optics

Laser physics

laser manufacturing

Instrumentation, Measurement and Metrology

Table 1. Range, standard deviation and average value of SSC content in calibration set and prediction set

Table 1. Range, standard deviation and average value of SSC content in calibration set and prediction set

Table 2. Local model and local prediction effect in six directions

Table 2. Local model and local prediction effect in six directions

Table 3. Global model and prediction effect of A3, A4 and A5 directions

Table 3. Global model and prediction effect of A3, A4 and A5 directions

Table 4. Global model and prediction effect of A4, A5 and A6 directions

Table 4. Global model and prediction effect of A4, A5 and A6 directions

Table 5. Prediction effects of local model and global model on A1, A2 and A3 direction validation sets

Table 5. Prediction effects of local model and global model on A1, A2 and A3 direction validation sets

Table 6. Prediction effects of local model and global model on A4, A5 and A6 direction validation sets

Table 6. Prediction effects of local model and global model on A4, A5 and A6 direction validation sets

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