Fuente: WIPO "processing tomato" The invention relates to the technical field of computer vision detection, and discloses a tomato disease detection method, device and equipment and a storage medium, and the method comprises the steps: carrying out the expansion of an original tomato leaf image data set, and obtaining an expansion data set; performing feature labeling on the expanded data set; performing training processing on the labeled expansion data set through a YOLOv3SSP network model to obtain a detection result data set; inputting the detection result data set into a MobileNetV2 network model for training, and generating a target tomato disease detection model through a transfer learning mode; and detecting the current tomato leaf image according to the target tomato disease detection model to obtain a tomato disease detection result. Through the above mode, the high-accuracy tomato disease detection model is obtained through image data set labeling, YOLOv3 rapid training, image processing and rapid training transfer learning, so that the training rate and the detection time of the model can be improved.