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Real-time analysis of soil total nitrogen and soil total phosphorus with NIR spectroscopy

机译:NIR光谱法实时分析土壤总氮和总磷

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The grey-brown alluvial soil is a typical soil in the Northern China. It is selected as research object to reveal feasibility and possibility of real-time analyzing soil parameter with NIR spectroscopic techniques. 150 samples are collected from a winter wheat farm. And then the NIR absorbance spectra are rapidly measured under the original conditions by a Nicolet Antaris FT-NIR analyzer. Two soil parameters, soil total nitrogen content (TN) and soil total phosphorus content (TP), are analyzed. 2262nm and 1888nm wavelengths were selected in the TN estimated model. Estimation model of soil TN content by using the first spectral derivation was established. After noises was eliminated by the first spectral deviation, the correlation coefficient of the model(RC 2) was 0.767.For TP, a partial least square regression model was available, using 2258nm, 2040nm, 1810nm, 1490nm, 1332nm and 996nm wavelengths with correlation coefficient of 0.818. The results showed that soil total nitrogen content and soil total phosphorus content could be evaluated by using NIR absorbance spectra of soil samples.
机译:灰褐色的冲积土是中国北方的典型土壤。选择该方法作为研究对象,以揭示利用近红外光谱技术实时分析土壤参数的可行性和可能性。从冬小麦农场收集了150个样品。然后,通过Nicolet Antaris FT-NIR分析仪在原始条件下快速测量NIR吸收光谱。分析了两个土壤参数,即土壤总氮含量(TN)和土壤总磷含量(TP)。在TN估计模型中选择了2262nm和1888nm波长。建立了基于一阶光谱推导的土壤总氮含量估算模型。通过第一个光谱偏差消除噪声后,模型的相关系数(RC 2)为0.767。对于TP,可以使用偏最小二乘回归模型,使用2258nm,2040nm,1810nm,1490nm,1332nm和996nm波长进行相关分析系数为0.818。结果表明,利用土壤样品的近红外吸收光谱可以评价土壤总氮含量和总磷含量。

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