• Optical Instruments
  • Vol. 41, Issue 4, 8 (2019)
WANG Xinye*, LI Xinting, LI Hongmei, and FENG Jie
Author Affiliations
  • [in Chinese]
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    DOI: 10.3969/j.issn.1005-5630.2019.04.002 Cite this Article
    WANG Xinye, LI Xinting, LI Hongmei, FENG Jie. Extraction of hyperspectral diseased potato leaf characteristic wavelength by second principal component[J]. Optical Instruments, 2019, 41(4): 8 Copy Citation Text show less
    References

    [2] LI J B, HUANG W Q, TIAN X, et al. Fast detection and visualization of early decay in citrus using Vis-NIR hyperspectral imaging[J]. Computers and Electronics in Agriculture, 2016, 127: 582 – 592.

    [3] KAMRUZZAMAN M, MAKINO Y, OSHITA S. Rapid and non-destructive detection of chicken adulteration in minced beef using visible near-infrared hyperspectral imaging and machine learning[J]. Jour-nal of Food Engineering, 2016, 170: 8 – 15.

    [5] HUANG M, WAN X M, ZHANG M, et al. Detection of insect-damaged vegetable soybeans using hyperspectral transmittance image[J]. Journal of Food Engineering, 2013, 116(1): 45 – 49.

    WANG Xinye, LI Xinting, LI Hongmei, FENG Jie. Extraction of hyperspectral diseased potato leaf characteristic wavelength by second principal component[J]. Optical Instruments, 2019, 41(4): 8
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