 Ground Penetrating Radar, GPR, can be used to quickly and efficiently measure soil water content in real time. Deep learning techniques have been developed to enable accurate inversion of GPR data into soil water content. These techniques have been tested successfully on a field site in China, demonstrating their accuracy and potential application in agriculture. This article was authored by Zhilian Li, Xiaofa Zeng, Hongxiang Xiong, and others.