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Measurement and analysis of soil nitrogen and organic matter content using near-infrared spectroscopy techniques
Authors:He Yong  Song Hai-yan  Pereira Annia García  Gómez Antihus Hernández
Institution:School of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310029, China. yhe@zju.edu.cn
Abstract:Near infrared reflectance (NIR) spectroscopy is as a rapid, convenient and simple nondestructive technique useful for quantifying several soil properties. This method was used to estimate nitrogen (N) and organic matter (OM) content in a soil of Zhejiang Province, Hangzhou County. A total of 125 soil samples were taken from the field. Ninety-five samples spectra were used during the calibration and cross validation stage. Thirty samples spectra were used to predict N and OM concentration. NIR spectra of these samples were correlated using partial least square regression. The regression coefficients between measured and predicted values of N and OM was 0.92 and 0.93, and SEP (standard error of prediction) were 3.28 and 0.06, respectively, which showed that NIR method had potential to accurately predict these constituents in this soil. The results showed that NIR spectroscopy could be a good tool for precision farming application.
Keywords:NIR spectroscopy  Partial least square  Precision farming  Soil spatial variability  Nitrogen  Organic matter
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