Method and system for detecting grain moisture based on WIFI channel state information

The invention relates to a method and a system for detecting grain moisture based on WIFI channel state information. Firstly, the amplitude and phase difference data of channel state information of grain with known moisture content are collected, then the amplitude and phase difference data of channel state information are extracted, and then the obtained characteristic data are trained accordingto the classification of support vector machine to obtain the relevant training model. Finally, the amplitude and phase difference data of the channel state information of the tested grain are collected and input to the trained training model to detect the moisture content of the tested grain. Because the amplitude and phase difference of the channel state information are relatively stable, the detection accuracy of the grain moisture detection method is high, and the detection accuracy can be fairly high in both visual range and non-visual range scenarios. Moreover, the implementation of themethod does not need to in