Research on Hyperspectral Inversion of Soil Alkaline Hydrolysis Nitrogen Content and pH Value Based on DWD

Abstract Aiming at the shortcomings of traditional methods for detecting content Alkaline Hydrolysis Nitrogen (AHN) and pH value in soil, such as time-consuming labor-consuming, this paper proposes a rapid quantitative inversion method based on hyperspectral analysis AHN value. This uses db4 discrete wavelet denoising (DWD) normalization (DWD-N) to carry out Pearson correlation analysis, two methods, Ridge regression Partial Least Squares Regression (PLSR), were used compare accuracy soil Experiments have demonstrated that prediction model, has good modeling effect under DWD-N where R 2 =0.647, RMSE=7.067mg/kg. PLSR DWD-N, is highest 0.792, RMSE 3.438mg/kg; model prediction, full-band DWD pretreatment best, which set 0.826 0.875, 0.217 mg/kg 0.191 respectively.