Study on the robust NIR calibration models for moisture

文献类型： 外文期刊

第一作者： Li, Y

作者： Li, Y;Wei, YM;Zhang, B;Yan, YL

作者机构：

关键词： near infrared;robust;error;moisture;model

期刊名称：SPECTROSCOPY AND SPECTRAL ANALYSIS （ 影响因子：0.589； 五年影响因子：0.504 ）

ISSN： 1000-0593

年卷期： 2005 年 25 卷 12 期

页码：

收录情况： SCI

摘要： The differences in sample moisture affect the robustness of NIR model obviously. In the present paper, three approaches, including preprocessing spectra, selecting wavelength, and setting up global calibration, were investigated to analyze the feasibility of setting up robust calibrations based on the protein content of wheat with different moistures. It has been found that with only spectral pretreatment method it fails to obtain satisfactory results, which can not remove the effects caused by moisture difference. Both selecting wavelengths and developing global calibration model proved to be good approaches for developing robust NIR calibration, yet developing global calibration is better. The mechanisms of the three different methods were also analyzed theoretically.

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