[4] [4] JEPSEN P U, COOKE D G, KOCH M. Terahertz spectroscopy and imaging-modern techniques and applications［J］. Laser & Photonics Reviews, 2011, 5(1): 124-166.

[5] [5] REN A F, ZAHID A, FAN D, et al. State-of-the-art in terahertz sensing for food and water security: A comprehensive review［J］. Trends in Food Science & Technology, 2019, 85: 241-251.

[9] [9] LIU W, LIU Y, HUANG J Q, et al. Application of terahertz spectroscopy in biomolecule detection［J］. Frontiers in Laboratory Medicine, 2018, 2(4): 127-133.

[10] [10] RUGGIERO M T. Invited review: Modern methods for accurately simulating the terahertz spectra of solids［J］. Journal of Infrared, Millimeter, and Terahertz Waves, 2020, 41(5): 491-528.

[11] [11] LI B, ZHANG D P, SHEN Y. Study on terahertz spectrum analysis and recognition modeling of common agricultural diseases［J］. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, 2020, 243: 118820.

[12] [12] DI GIROLAMO F V, PAGANO M, TREDICUCCI A, et al. Detection of fungal infections in chestnuts: A terahertz imaging-based approach［J］. Food Control, 2021, 123: 107700.

[13] [13] PENKOV N V, GOLTYAEV M V, ASTASHEV M E, et al. The application of terahertz time-domain spectroscopy to identification of potato late blight and fusariosis［J］. Pathogens, 2021, 10(10): 1336.

[16] [16] ZHANG L, WANG D, LIU J C, et al. Vis-NIR hyperspectral imaging combined with incremental learning for open world maize seed varieties identification［J］. Computers and Electronics in Agriculture, 2022, 199: 107153.

[17] [17] ZHANG Y Z, LV C X, WANG D C, et al. A novel image detection method for internal cracks in corn seeds in an industrial inspection line［J］. Computers and Electronics in Agriculture, 2022, 197: 106930.

[18] [18] LUO H, ZHU J P, XU W N, et al. Identification of soybean varieties by terahertz spectroscopy and integrated learning method［J］. Optik, 2019, 184: 177-184.

[19] [19] ZHANG J N, YANG Y, FENG X P, et al. Identification of bacterial blight resistant rice seeds using terahertz imaging and hyperspectral imaging combined with convolutional neural network［J］. Frontiers in Plant Science, 2020, 11: 821.

[20] [20] YANG S, LI C X, MEI Y, et al. Discrimination of corn variety using Terahertz spectroscopy combined with chemometrics methods［J］. Spectrochimica Acta Part A, Molecular and Biomolecular Spectroscopy, 2021, 252: 119475.

[23] [23] ZAHID A, DASHTIPOUR K, ABBAS H T, et al. Machine learning enabled identification and real-time prediction of living plants’ stress using terahertz waves［J］. Defence Technology, 2022, 18(8): 1330-1339.

[24] [24] WEI X, ZHU S P, ZHOU S L, et al. Identification of soybean origin by terahertz spectroscopy and chemometrics［J］. IEEE Access, 2020, 8: 184988-184996.

[25] [25] SHEN Y, LI B, LI G L, et al. Rapid identification of producing area of wheat using terahertz spectroscopy combined with chemometrics［J］. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, 2022, 269: 120694.

[26] [26] LIU W, LIU C H, YU J J, et al. Discrimination of geographical origin of extra virgin olive oils using terahertz spectroscopy combined with chemometrics［J］. Food Chemistry, 2018, 251: 86-92.

[27] [27] LIANG J E, GUO Q J, CHANG T Y, et al. Reliable origin identification of Scutellaria baicalensis based on terahertz time-domain spectroscopy and pattern recognition［J］. Optik, 2018, 174: 7-14.

[28] [28] LIU L Y, GAO Y, WU X H, et al. A rapid origin identification method for Panax quinquefolius by terahertz spectroscopy combined with random forest［J］. Optik, 2022, 268: 169718.

[30] [30] WANG Q, HAMEED S, XIE L J, et al. Non-destructive quality control detection of endogenous contaminations in walnuts using terahertz spectroscopic imaging［J］.Journal of Food Measurement and Characterization, 2020, 14(5): 2453-2460.

[33] [33] LIU J J, LI Z. The terahertz spectrum detection of transgenic food［J］. Optik, 2014, 125(23): 6867-6869.

[34] [34] LIU J J, LI Z, HU F R, et al. Classification and recognition of transgenic product by terahertz spectroscopy and DSVM［J］. Optik, 2014, 125(23): 6914-6919.

[36] [36] WEI X A, ZHENG W Q, ZHU S P, et al. Application of terahertz spectrum and interval partial least squares method in the identification of genetically modified soybeans［J］. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, 2020, 238: 118453.

[37] [37] YI C C, TUO S, ZHANG L, et al. Improved kernel entropy composition analysis method for transgenic cotton seeds recognition based on terahertz spectroscopy［J］. Chemometrics and Intelligent Laboratory Systems, 2022, 225: 104575.

[38] [38] TU S, WANG Z G, LIANG G L, et al. A novel approach to discriminate transgenic soybean seeds based on terahertz spectroscopy［J］. Optik, 2021, 242: 167089.

[39] [39] YI C C, TUO S A, TU S, et al. Improved fuzzy C-means clustering algorithm based on t-SNE for terahertz spectral recognition［J］. Infrared Physics & Technology, 2021, 117: 103856.

[41] [41] ADNAN Z, ABBAS HASAN T, REN A F, et al. Machine learning driven non-invasive approach of water content estimation in living plant leaves using terahertz waves［J］. Plant Methods, 2019, 15(1): 138.

[42] [42] WEI X A, LI S, ZHU S P, et al. Quantitative analysis of soybean protein content by terahertz spectroscopy and chemometrics［J］. Chemometrics and Intelligent Laboratory Systems, 2021, 208: 104199.

[43] [43] WEI X, LI S, ZHU S P, et al. Terahertz spectroscopy combined with data dimensionality reduction algorithms for quantitative analysis of protein content in soybeans［J］. Spectrochimica Acta Part A, Molecular and Biomolecular Spectroscopy, 2021, 253: 119571.

[47] [47] SUN X D, LIU J B, ZHU K, et al. Generalized regression neural network association with terahertz spectroscopy for quantitative analysis of benzoic acid additive in wheat flour［J］. Royal Society Open Science, 2019, 6(7): 190485.