“Deep Convolutional Neural Network (DCNN) has made significant progress in the field of remote sensing crop recognition, but is limited by the cost of obtaining labeled samples. This study is based on the model transfer learning strategy, using the crop data layer CDL of the US Department of Agriculture Statistics as labeled data to train the U-net model and verify its transfer generalization ability in the United States and Heihe City, China.”