Abstract:Taking detection of soil organic matter content as an example, this paper discussed the application method of empirical mode decomposition (EMD) for processing soil near-infrared (NIR) differential spectrum using empirical mode decomposition. And the principles and steps of processing were proposed. Then the soil organic matter content was calculated based on the de-noised spectrum, and it was compared with the result from the nine-point smoothing method and wavelet method. Experimental results showed that the SNR was improved from 3dB to 10dB, and the root mean square error of between raw signal and de-noised signal were reduced to 0.901 from 2.972. The correlation ratio of the prediction set was improved to 0.9803 from 0.9410, and the RMSEP was reduced to 0.3011 from 0.6702. This improved that EMD is effective to get the pretreatment of NIR spectrum, and the EMD method improves the accuracy of near-infrared spectrum detection of soil organic matter content.