The relationship between soil spectral reflectance and soil electrical conductivity was expressed indirectly by using the relationship between soil water content and NIR spectral soil reflectance and soil electrical conductivity with soil water content as an intermediate variable. There was an exponential relationship between soil water content and soil spectral reflectance, and a linear relationship between soil water content and soil electrical conductivity, and the relationship between soil spectral reflectance and soil electrical conductivity was obtained by eliminating the intermediate variable (soil water content). The exponential prediction model and the logarithmic prediction model were established and validated respectively by taking the soil moisture sensitive band 1450nm as the research object to study the prediction model of soil electrical conductivity. There were 72 samples in the experimental modeling set and 48 samples in the validation set, and the R2 of the logarithmic prediction model of soil electrical conductivity reached 0.80, and the R2 of the exponential prediction model of soil conductivity reached 0.85, both of which can satisfy the estimation of farmland conductivity, but the prediction effect of the logarithmic model was not satisfactory in the lower range of soil conductivity, so the prediction effect of the exponential prediction model of soil conductivity was better than the prediction effect of the logarithmic model. The results showed that the scheme of soil spectral reflectance prediction of soil conductivity was feasible, which provided an idea for the prediction of soil electrical conductivity by spectral information.