He Yong, Song Hai-yan, Pereira Annia García, Gómez Antihus Hernández
School of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310029, China.
J Zhejiang Univ Sci B. 2005 Nov;6(11):1081-6. doi: 10.1631/jzus.2005.B1081.
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.
近红外反射光谱法(NIR)是一种快速、便捷且简单的无损技术,可用于量化多种土壤特性。该方法用于估算浙江省杭州市某土壤中的氮(N)和有机质(OM)含量。共从田间采集了125个土壤样本。在校准和交叉验证阶段使用了95个样本光谱。30个样本光谱用于预测氮和有机质浓度。这些样本的近红外光谱通过偏最小二乘回归进行关联。氮和有机质测量值与预测值之间的回归系数分别为0.92和0.93,预测标准误差(SEP)分别为3.28和0.06,这表明近红外方法有潜力准确预测该土壤中的这些成分。结果表明,近红外光谱法可成为精准农业应用的良好工具。