Visible and near-infrared reflectance spectroscopy is a rapid, effective, and non-destructive method for monitoring the total nitrogen (TN) content of soil. However, soil color decreases spectral reflectance and severely limits the accuracy of a TN content estimate. The aim of this study was to improve the TC content estimate accuracy by rapidly decreasing the effect of soil color using a synchronized decoloring fuzzy measured value (SDFMV) method. Visible/near-infrared spectra were acquired using an ASD FieldSpec 3 spectroradiometer under laboratory conditions. Hue–saturation–intensity color values were obtained from the reflectance spectra, and the optimal model (group H; j = 6.5) for the SDFMV method was used to develop the final model, which performed better (root mean square error of validation 0.137 g/kg, mean relative error of validation 9.089 %) than a partial least squares regression model. The SDFMV method has great potential for accurately and remotely determining TN contents, and improves the range of methods available for producing spatial maps of soil nutrients.

可见和近红外反射光谱法是一种快速，有效且无损的监测土壤中总氮（TN）含量的方法。但是，土壤颜色会降低光谱反射率，并严重限制TN含量估算的准确性。这项研究的目的是通过使用同步脱色模糊测量值（SDFMV）方法快速降低土壤颜色的影响来提高TC含量估算的准确性。在实验室条件下，使用ASD FieldSpec 3分光光度计获取可见/近红外光谱。从反射光谱和最佳模型中获得色相-饱和度-强度色值（H组；j SDFMV方法用于开发最终模型，其结果为6.5（均方根误差为0.137 g / kg，相对均方根误差为9.089％），优于偏最小二乘回归模型。SDFMV方法在准确和远程确定TN含量方面具有巨大潜力，并扩大了可用于生成土壤养分空间图的方法的范围。