The invention relates to an
organic matter near
infrared spectrum inversion method and device for removing
moisture based on
radiation. The method comprises the steps that after a soil sample is pretreated, multiple
moisture content gradients are regulated and controlled, the natural
moisture permeation state is simulated, visible light-near
infrared spectrum data and the
organic matter content are collected, and a soil spectrum
library is constructed; quantifying the interference weight of moisture on the spectrum by using a physical
radiation transmission model to obtain a preliminary correction spectrum; moisture and
organic matter features are extracted through a
deep learning multi-
branch architecture, a moisture characterization index is constructed, cross-domain feature alignment is realized in combination with
a domain adversarial network, and an accurate correction spectrum is obtained; all the modules are integrated to construct a soil moisture
elimination reconstruction spectrum model, after layered
verification and iterative optimization, a to-be-detected soil spectrum is input into the model, organic matter content near
infrared spectrum inversion is completed, and a result is output. According to the method, moisture interference is removed through combination of physical
radiation and
deep learning, the inversion precision is improved, and the method is suitable for
rapid detection of organic matters in various moisture-containing soil.