Spectroscopy and Spectral Analysis, Volume. 30, Issue 11, 3018(2010)

Diagnosis of Cucumber Diseases and Insect Pests by Fluorescence Spectroscopy Technology Based on PCA-SVM

YANG Hao-yu1,*... YU Hai-ye1, LIU Xu1,2, ZHANG Lei1 and SUI Yuan-yuan1 |Show fewer author(s)
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  • 1[in Chinese]
  • 2[in Chinese]
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    References(7)

    [1] [1] Vapnik V N. The Nature of Statistical Learning Theory. New York: Springer-Verlag, 1955.

    [2] [2] Cao Y Y, Frank P M. IEEE Trans on Fuzzy Systems, 2000, 8(2): 200.

    [4] [4] Rober E K, David J G, Grant R G. Society of Photo-Optical Instrum Entation Engineers, 2000, 39(3): 704.

    [8] [8] Hartley R D. Phytochemistry, 1973, 12: 305.

    [9] [9] Harris P J, Hartely R D. Nature, 1976, 259: 508.

    [10] [10] Lichtenthaler H K, Schweiger J. Journal of Plant Physiology, 1998, 152: 272.

    [11] [11] Pfudel E. Photosynth Research, 1988, 56: 185.

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    YANG Hao-yu, YU Hai-ye, LIU Xu, ZHANG Lei, SUI Yuan-yuan. Diagnosis of Cucumber Diseases and Insect Pests by Fluorescence Spectroscopy Technology Based on PCA-SVM[J]. Spectroscopy and Spectral Analysis, 2010, 30(11): 3018

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    Paper Information

    Received: Sep. 28, 2009

    Accepted: --

    Published Online: Jan. 26, 2011

    The Author Email: Hao-yu YANG (yhymoon@sina.com)

    DOI:

    CSTR:32186.14.

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