“In the field of identifying erosion gullies in the black soil area of Northeast China, experts have constructed a training sample set of remote sensing images, extracted features at different levels, and developed a set of feature extraction and recognition methods, providing strong support for farmland protection. The test results show that using convolutional neural networks to extract deep features achieves a recognition accuracy of 95.5%, while greatly improving the degree of automation.”