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Spectroscopy and Spectral Analysis, Volume. 32, Issue 9, 2393(2012)

Using Different Data Mining Algorithms to Predict Soil Organic Matter Based on Visible-Near Infrared Spectroscopy

JI Wen-jun1,*... LI Xi1, LI Cheng-xue2, ZHOU Yin1, and SHI Zhou13 |Show fewer author(s)
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  • 1[in Chinese]
  • 2[in Chinese]
  • 3[in Chinese]
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    [1] [1] Viscarra Rossel R A, Cattle S R, Ortega A, et al. Geoderma, 2009, 150: 253.

    [3] [3] Stenberg B, Viscarra Rossel R A, Mouazen A M, et al. Advances in Agronomy, 2010, 107: 163.

    [7] [7] Joel B S, David J B, Melisa L B, et al. Geoderma, 2008, 148: 149.

    [8] [8] Volkan Bilgili A, van Es H M, Akbas F, et al. Journal of Arid Environments, 2010, (74): 229.

    [9] [9] Viscarra Rossel R A, Behrens T. Geoderma, 2010, 158: 46.

    [11] [11] Tormod N, tomas I, Tom F, et al. Auser-Friedly Quide to Multivariate Calibration and Classification. Chicester, UK: NIR Publications, 2002. 27.

    CLP Journals

    [1] Wang Qianlong, Li Shuo, Lu Yanli, Peng Jie, Shi Zhou, Zhou Lianqing. Nitrogen Content Inversion Based on Large Sample Soil Spectral Library[J]. Acta Optica Sinica, 2014, 34(9): 930003

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    JI Wen-jun, LI Xi, LI Cheng-xue, ZHOU Yin, SHI Zhou. Using Different Data Mining Algorithms to Predict Soil Organic Matter Based on Visible-Near Infrared Spectroscopy[J]. Spectroscopy and Spectral Analysis, 2012, 32(9): 2393

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    Paper Information

    Received: Mar. 30, 2012

    Accepted: --

    Published Online: Sep. 26, 2012

    The Author Email: Wen-jun JI (30239000@qq.com)

    DOI:10.3964/j.issn.1000-0593(2012)09-2393-06

    Topics

    laser devices and laser physics
    Lasers and Laser Optics
    Laser physics
    laser manufacturing
    Instrumentation, Measurement and Metrology