Journal of Innovative Optical Health Sciences, Volume. 7, Issue 4, 1350071(2014)

Selection of stable equivalent wavebands for near-infrared spectroscopic analysis of total nitrogen in soil

Jiemei Chen1,2, Tao Pan2、*, Guisong Liu1,2, Yun Han2, and Dingxing Chen2
Author Affiliations
  • 1State Key Laboratory of Soil and Sustainable Agriculture Institute of Soil Science, Chinese Academy of Sciences Nanjing 210008, P. R. China
  • 2Key Laboratory of Optoelectronic Information and Sensing Technologies of Guangdong Higher Educational Institute Jinan University, Guangzhou 510632, P. R. China
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    The selection of stable wavebands for the near-infrared (NIR) spectroscopic analysis of total nitrogen (TN) in soil was accomplished by using an improved moving window partial least squares (MWPLS) method. A new modeling approach was performed based on randomness, similarity and stability, which produced an objective, stable and practical model. Based on the MWPLS method, a search was in the overall scanning region from 400 to 2498 nm, and the optimal waveband was identified to be 1424 to 2282 nm. A model space that includes 41 wavebands that are equivalent to the optimal waveband was then proposed. The public range of the 41 equivalent optimal wavebands was 1590 to 1870 nm, which contained sufficient TN information. The wavebands of 1424 to 2282 nm, 1590 to 1870 nm, and the long-NIR region 1100 to 2498 nm all achieved satisfactory validation effects. However, the public waveband of 1590 to 1870 nm had only a minimum number of wavelengths, which significantly reduced the method complexity. Various equivalent wavebands serve as guidelines for designing spectroscopic instruments. These wavebands could address the restrictions of position and the number of wavelengths in instrument design.

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    Jiemei Chen, Tao Pan, Guisong Liu, Yun Han, Dingxing Chen. Selection of stable equivalent wavebands for near-infrared spectroscopic analysis of total nitrogen in soil[J]. Journal of Innovative Optical Health Sciences, 2014, 7(4): 1350071

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    Paper Information

    Received: Jul. 31, 2013

    Accepted: Oct. 16, 2013

    Published Online: Jan. 10, 2019

    The Author Email: Pan Tao (tpan@jnu.edu.cn)

    DOI:10.1142/s1793545813500715

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