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Soil Nutrient Detection Method Based on Combining Mid-Infrared Attenuated Total Reflection and Diffuse Reflectance Spectroscopy

文献类型: 外文期刊

作者: Chen Chen 1 ; Li Zhi-wei 1 ; Dong Da-ming 2 ;

作者机构: 1.Shanxi Agr Univ, Taigu 030801, Peoples R China

2.Beijing Acad Agr & Forestry Sci, Beijing Res Ctr Intelligent Equipment Agr, Beijing 100097, Peoples R China

关键词: ATR;DRIPT;Soil nutrients;Infrared spectroscopy

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: 2017 年 37 卷 11 期

页码:

收录情况: SCI

摘要: Due to the advantages of high detection speed, real-time measurement, and non-destructive process, spectroscopy analysis technique is widely used in every field and has becomes one of the most effective methods in modern agricultural control. In this paper, we collected soil samples with different nutrient contents, measured the infrared attenuated total reflection (ATR) and diffuse reflection infrared Fourier transform (DRIFT) data of every sample in order to built models and predicted the content of total carbon, total nitrogen and available nitrogen quantitively in soil by using pretreatment and partial least squares (PLS) methods. It indicated that the determination coefficients of PLS models improved after using standard normal variate transformation (SNV). For the ATR and DRIFT models, the determination coefficients of total carbon were improved to 0. 826, 0. 919 and 0. 841, 0. 928 of total nitrogen respectively. By combining with ATR and DRIP-1 spectra, the prediction accuracy became higher than that of using ATR or DRIP-1 spectra. The coefficient of determinations of the total carbon, total nitrogen and available nitrogen models were 0. 942, 0. 951 and 0. 919 respectively. It provided a reasonable method to improve the analytical ability in mid infrared spectroscopy.

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