Maize Hybrid Seed Purity Identification Based on Near Infrared Reflectance (NIR) and Transmittance (NIT) Spectra

LI Tian-xin; JIA Shi-qiang; LIU Xu; ZHAO Sheng-yi; RAN Hang; YAN Yan-lu; AN Dong

doi:10.3964/j.issn.1000-0593(2015)12-3388-05

Spectroscopy and Spectral Analysis, Volume. 35, Issue 12, 3388(2015)

Maize Hybrid Seed Purity Identification Based on Near Infrared Reflectance (NIR) and Transmittance (NIT) Spectra

LI Tian-xin^1、*, JIA Shi-qiang², LIU Xu², ZHAO Sheng-yi², RAN Hang², YAN Yan-lu², and AN Dong²

Author Affiliations

¹[in Chinese]

²[in Chinese]

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References(5)

[1] [1] http://faostat.fao.org/site/339/default.aspx.

[6] [6] Baye T M, Pearson T C, Settles A M. Journal of Cereal Science, 2006, 43: 236.

[7] [7] Smirnov N. The Annals of Mathematical Statistics, 1948, 19(2): 279.

[8] [8] Ye Jieping. Journal of Machine Learning Research. 2005, 6: 483.

[9] [9] Cristianini N, Shawe-Taylor J. An Infroduction to Support Vector Machines. Cambridge: Cambridge University Press, 2000.

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LI Tian-xin, JIA Shi-qiang, LIU Xu, ZHAO Sheng-yi, RAN Hang, YAN Yan-lu, AN Dong. Maize Hybrid Seed Purity Identification Based on Near Infrared Reflectance (NIR) and Transmittance (NIT) Spectra[J]. Spectroscopy and Spectral Analysis, 2015, 35(12): 3388

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Paper Information

Received: Sep. 15, 2014

Accepted: --

Published Online: Jan. 25, 2016

The Author Email: Tian-xin LI (43981591@qq.com)

DOI:10.3964/j.issn.1000-0593(2015)12-3388-05

Topics

laser devices and laser physics

Lasers and Laser Optics

Laser physics

laser manufacturing

Instrumentation, Measurement and Metrology