• Spectroscopy and Spectral Analysis
  • Vol. 32, Issue 9, 2393 (2012)
JI Wen-jun1、*, LI Xi1, LI Cheng-xue2, ZHOU Yin1, and SHI Zhou1、3
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
  • 3[in Chinese]
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    DOI: 10.3964/j.issn.1000-0593(2012)09-2393-06 Cite this Article
    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 Copy Citation Text show less
    References

    [1] Viscarra Rossel R A, Cattle S R, Ortega A, et al. Geoderma, 2009, 150: 253.

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

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

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

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

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

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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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