Study on the model of paddy soil moisture content based on near infrared spectroscopy

Rapid prediction of the water content of Paddy soil is an important support for the study of the adhesion properties of soil-engaging component. In this paper, near-infrared spectroscopy was used to quickly detect soil moisture content, and 123 near-infrared spectra of soil were collected with the range from 3999.64 cm^-1 to 10000.10 cm^-1. The moisture content of the soil was measured by the drying method containing 123 samples which were divided into the cali-set and the pred-set according to the ratio of 2:1. The least squares method was used to establish the full spectrum, the segmented spectrum and the characteristic spectrum selected by the genetic algorithm to establish the prediction model of water content. By comparison, 20 characteristic spectra were optimized by genetic algorithm, and the adjacent or even overlapping characteristic spectra were further eliminated. Finally, 10 characteristic spectra were selected to establish the prediction model of red and yellow soil moisture content. The correlation coefficients of the cali-set and the pred-set were 0.9532 and 0.9612, respectively.