• Laser & Optoelectronics Progress
  • Vol. 58, Issue 3, 3300011 (2021)
Wang Fang1, Zhang Chunhong1, Zhao Jingfeng2、*, Ha Sibateer2, and Zhang Yu1
Author Affiliations
  • 1College of Science, China University of Petroleum, Beijing 102249, China
  • 2Inner Mongolia Grassland Station, Huhhot, Inner Mongolia 010020, China
  • show less
    DOI: 10.3788/LOP202158.0330001 Cite this Article Set citation alerts
    Wang Fang, Zhang Chunhong, Zhao Jingfeng, Ha Sibateer, Zhang Yu. Identification of a Grass Species Using a Terahertz Wave Based on Hybrid Machine Learning Method[J]. Laser & Optoelectronics Progress, 2021, 58(3): 3300011 Copy Citation Text show less
    References

    [1] Li X L, Shao A J, Zhan X R et al. Study on microscopic identification of Astragalus complanatus and A. adsurgens seeds. China Journal of Chinese Materia Medica, 40, 1271-1273(2015).

    [2] Liu X Q, Yao J L, Huang F et al. Study on detection of penicillin drugs based on terahertz time-domain spectroscopy. Acta Optica Sinica, 40, 0630001(2020).

    [3] Zhang W T, Li Y W, Zhan P P et al. Recognition of transgenic soybean oil based on terahertz timedomain spectroscopy and PCA-SVM. Infrared and Laser Engineering, 46, 1125004(2017).

    [4] Liu W, Liu C H, Hu X H et al. Application of terahertz spectroscopy imaging for discrimination of transgenic rice seeds with chemometrics. Food Chemistry, 210, 415-421(2016).

    [5] Long Y L, Cai C. Random forest- based damaged weed seeds recognition. Computer Applications and Software, 33, 185-189(2016).

    [6] Yang Y P, Zhang C, Liu H S et al. Identification of two types of safflower and bezoar by terahertz spectroscopy. Spectroscopy and Spectral Analysis, 39, 45-49(2019).

    [7] Zhou Y, Sun J, Yang S G et al. Terahertz spectral analysis and recognition based on machine learning. Radio Engineering, 49, 1031-1036(2019).

    [8] Bao R M, Zhao K, Tian L et al. Analysis of THz time-domain spectroscopy in crude oil ultrasound treatment. Modern Scientific Instruments, 126-129(2013).

    [9] Liu J X, Du B, Deng Y Q et al. Terahertz-spectral identification of organic compounds based on differential PCA-SVM method. Chinese Journal of Lasers, 46, 0614039(2019).

    [10] Li X H. Using “random forest”for classification and regression. Chinese Journal of Applied Entomology, 50, 1190-1197(2013).

    [11] Xu H D, Lin L L, Li Z et al. Nephrite origin identification based on Raman spectroscopy and pattern recognition algorithms. Acta Optica Sinica, 39, 0330001(2019).

    [12] Yuan L S, Lou M Y, Liu Y Q et al. Palm vein classification based on deep neural network and random forest. Laser & Optoelectronics Progress, 56, 101010(2019).

    [13] Wang B, Wang Q H, Xiao Z et al. Discrimination of origin of eggs using visible-near-infrared spectroscopy and random forest. Science and Technology of Food Industry, 38, 243-247(2017).

    Wang Fang, Zhang Chunhong, Zhao Jingfeng, Ha Sibateer, Zhang Yu. Identification of a Grass Species Using a Terahertz Wave Based on Hybrid Machine Learning Method[J]. Laser & Optoelectronics Progress, 2021, 58(3): 3300011
    Download Citation