REAL-TIME ANALYSIS OF SOIL TOTAL PHOSPHORUS AND SOIL TOTAL POTASSIUM WITH NIR SPECTRA

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. Two soil parameters, soil total phosphorus and soil total potassium, were analyzed. For soil total phosphorus content, a partial least square regression model was available, using 2258nm, 2040nm, 1810nm, 1490nm, 1332nm and 996nm wavelengths with correlation coefficient of 0.818, soil total potassium content was estimated with a single linear regression model, using 1886nm wavelength with correlation coefficient of 0.797. The results showed that soil total phosphorus and total potassium content could be evaluated by using NIR absorbance spectra of soil samples.