• Laser & Optoelectronics Progress
  • Vol. 58, Issue 1, 100005 (2021)
Liu Yande*, Xu Zhen, Hu Jun, and Li Maopeng
Author Affiliations
  • School of Mechatronics & Vehicle Engineering, East China Jiaotong University, Nanchang, Jiangxi 330013, China
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    DOI: 10.3788/LOP202158.0100005 Cite this Article Set citation alerts
    Liu Yande, Xu Zhen, Hu Jun, Li Maopeng. Research on Quality of Agricultural Products by Terahertz Spectroscopy[J]. Laser & Optoelectronics Progress, 2021, 58(1): 100005 Copy Citation Text show less
    Terahertz band of electromagnetic waves
    Fig. 1. Terahertz band of electromagnetic waves
    Schematic of terahertz time-domain spectral system
    Fig. 2. Schematic of terahertz time-domain spectral system
    Photo of TAS7500SU terahertz time-domain spectral system
    Fig. 3. Photo of TAS7500SU terahertz time-domain spectral system
    Groundnut kernel with different degrees of mildew[15]. (a)Normal groundnut kernel; (b) groundnut kernel with mild mildew; (c) groundnut kernel with moderate mildew; (d) groundnut kernel with severe mildew
    Fig. 4. Groundnut kernel with different degrees of mildew[15]. (a)Normal groundnut kernel; (b) groundnut kernel with mild mildew; (c) groundnut kernel with moderate mildew; (d) groundnut kernel with severe mildew
    Experimental and theoretically calculated absorption efficient of chlorodifon and dipterex[25]. (a) Chlorodifon; (b) dipterex
    Fig. 5. Experimental and theoretically calculated absorption efficient of chlorodifon and dipterex[25]. (a) Chlorodifon; (b) dipterex
    Fitted curve between predicted and actual alum contents in flour[41]
    Fig. 6. Fitted curve between predicted and actual alum contents in flour[41]
    THz absorption spectra of transgenic and non-transgenic cotton seeds at low frequency and high frequency bands[49]. (a) 0.3?0.9 THz band; (b) 0.9?1.2 THz band
    Fig. 7. THz absorption spectra of transgenic and non-transgenic cotton seeds at low frequency and high frequency bands[49]. (a) 0.3?0.9 THz band; (b) 0.9?1.2 THz band
    Average terahertz time-domain spectra of soybean leaves under different drought stress gradients[58]
    Fig. 8. Average terahertz time-domain spectra of soybean leaves under different drought stress gradients[58]
    MethodRoot-mean-square error/%Coefficient of determination R2
    PLS2.60.932
    LS-SVM1.60.957
    Table 1. Comparison of experimental results of adulteration of potato powders[16]
    Input dataKernel functionRpRMSEP
    TypeParameterTime/s
    Original spectrumLin_kernelγ=2.41230.04680.98500.0104
    RBF_kernaelγ=1980.3968,σ2=51.84680.04680.99580.0057
    Moving average smoothing size 5Lin_kernelγ=2.72390.04680.98440.0106
    RBF_kernaelγ=192721.9293,σ2=852.70710.03120.99170.0082
    Table 2. Prediction results of LS-SVM model used for detecting benzoic acid content in corn flour[45]
    Liu Yande, Xu Zhen, Hu Jun, Li Maopeng. Research on Quality of Agricultural Products by Terahertz Spectroscopy[J]. Laser & Optoelectronics Progress, 2021, 58(1): 100005
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