Millet Moisture Content Detection Based on Two-Dimensional Correlation Near Infrared Spectroscopy

Guokang He; Kai Yuan; Zhiyong Zhang; Haiyan Song; Xiaoping Han; Wei Yang

doi:10.3788/LOP202259.0830002

Journals >Laser & Optoelectronics Progress >Volume 59 >Issue 8 >Page 0830002 > Article

Laser & Optoelectronics Progress
Vol. 59, Issue 8, 0830002 (2022)

Millet Moisture Content Detection Based on Two-Dimensional Correlation Near Infrared Spectroscopy

Guokang He, Kai Yuan, Zhiyong Zhang^*, Haiyan Song, Xiaoping Han, and Wei Yang

Author Affiliations

College of Agricultural Engineering, Shanxi Agricultural University, Jinzhong , Shanxi 030801, China

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DOI: 10.3788/LOP202259.0830002 Cite this Article Set citation alerts

Guokang He, Kai Yuan, Zhiyong Zhang, Haiyan Song, Xiaoping Han, Wei Yang. Millet Moisture Content Detection Based on Two-Dimensional Correlation Near Infrared Spectroscopy[J]. Laser & Optoelectronics Progress, 2022, 59(8): 0830002 Copy Citation Text

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Fig. 1. Spectral curves of 60 groups of sample

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Fig. 2. Two-dimensional synchronization spectrum

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Fig. 3. Two-dimensional asynchronous spectrum

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Fig. 4. Predicted results of millet moisture content

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Sample set	Quantity	Minimum /%	Maximum /%	Average value /%
Calibration set	45	10.88	21.35	16.67
Prediction set	15	12.92	21.19	16.43

Table 1. Sample set division and moisture content

Pretreatment	R_c²	R_MSEC /%	R_p²	R_MSEP /%
No pretreatment	0.9460	0.49	0.9391	0.63
MSC	0.9431	0.50	0.9151	0.77
OSC	0.7569	1.29	0.5778	1.71
VAF	0.9336	0.53	0.9270	0.71
SG smoothing	0.9464	0.51	0.9124	0.73

Table 2. PLSR modeling results analysis

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