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首页> 外文会议>IFIP(International Federation for Information Processing) TC 12 International Conference on Computer and Computing Technologies in Agriculture(CCTA 2007); 20070818-20; Wuyishan(CN) >REAL-TIME SOIL SENSING WITH NIR SPECTROSCOPY
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REAL-TIME SOIL SENSING WITH NIR SPECTROSCOPY

机译：近红外光谱实时土壤传感

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摘要

The grey-brown alluvial soil is a typical soil in the Northern China. It was selected as research object to reveal feasibility and possibility of real-time analyzing soil parameter with NIR spectroscopic techniques. 150 samples were collected from a winter wheat farm. And then the NIR absorbance spectra were rapidly measured under the original conditions by a Nicolet Antaris FT-NIR analyzer. Three soil parameters, soil moisture, SOM, TN content, were analyzed. For soil moisture content, a linear regression model was available, using 1920 nm of wavelength with correlation coefficient of 0.937, So that the results obtained could be directly used to real time evaluate soil moisture. SOM content and TN content were estimated with a multiple linear regression model, 1870nm and 1378 nm wavelengths were selected in the SOM estimated model, while 2262 nm and 1888 nm wavelengths were selected in the TN estimated model. The results showed that soil SOM and TN 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。它被选作研究对象，以揭示利用NIR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。分析了三个土壤参数，土壤湿度，SOM，TN含量。对于土壤水分，可以使用线性回归模型，使用波长为1920 nm且相关系数为0.937的线性回归模型，以便将获得的结果直接用于实时评估土壤水分。使用多元线性回归模型估算SOM含量和TN含量，在SOM估算模型中选择1870nm和1378 nm波长，而在TN估算模型中选择2262 nm和1888 nm波长。结果表明，利用土壤样品的NIR吸收光谱可以评价土壤的SOM和TN含量。

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