Optical Instruments, Volume. 41, Issue 4, 8(2019)

Extraction of hyperspectral diseased potato leaf characteristic wavelength by second principal component

WANG Xinye*... LI Xinting, LI Hongmei and FENG Jie |Show fewer author(s)
Author Affiliations
  • [in Chinese]
  • show less
    References(3)

    [2] [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] [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] [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.

    Tools

    Get Citation

    Copy Citation Text

    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

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    Paper Information

    Category:

    Received: Oct. 23, 2018

    Accepted: --

    Published Online: Nov. 5, 2019

    The Author Email: Xinye WANG (821831983@qq.com)

    DOI:10.3969/j.issn.1005-5630.2019.04.002

    Topics