Spectroscopy and Spectral Analysis, Volume. 38, Issue 12, 3912(2018)

Optimized Detection Models for Wheat Black Tip Disease and Multiple Classification Results

WU Ting-ting1,2,3、*, YU Ke-qiang1,2,3, ZHANG Hai-hui1,2,3, FENG Yi4, ZHANG Xiao1, and WANG Hui-hui1
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
  • 3[in Chinese]
  • 4[in Chinese]
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    References(7)

    [1] [1] Fox G, Watson L, Kelly A, et al. Developing an NIRS Method for Assessing Black Point in Single Kernels of Malting Barley. Proceedings of the 2012 World Brewing Congress, Portland, OR, 2012.

    [2] [2] Delwiche S R, Yang I C, Graybosch R A. Computers & Electronics in Agriculture, 2013, 98(7): 62.

    [3] [3] Armstrong Paul R, Maghirang Elizabeth B, Pearson Tom C. Cereal Chemistry, 2015, 92(4): 358.

    [4] [4] USDA-GIPSA-FGIS. Qrain Inspection Handbook Ⅱ. USA: Federal Grain Inspection Service, 2014. 1325.

    [6] [6] Galvao R K, Araujo M C, Jose G E, et al. Talanta, 2005, 67(4): 736.

    [7] [7] ElMasry G, Sun D-W, Allen P. Food Research International, 2011, 44(9): 2624.

    [9] [9] Liu D, Sun D W, Zeng X A. Food & Bioprocess Technology, 2014, 7(2): 307.

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    WU Ting-ting, YU Ke-qiang, ZHANG Hai-hui, FENG Yi, ZHANG Xiao, WANG Hui-hui. Optimized Detection Models for Wheat Black Tip Disease and Multiple Classification Results[J]. Spectroscopy and Spectral Analysis, 2018, 38(12): 3912

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    Paper Information

    Received: Mar. 19, 2018

    Accepted: --

    Published Online: Dec. 16, 2018

    The Author Email: WU Ting-ting (tt_wu@nwsuaf.edu.cn)

    DOI:10.3964/j.issn.1000-0593(2018)12-3912-05

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