Fish feeding state detection method

The invention discloses a fish ingestion state detection method, relates to the technical field of fish culture, and solves the technical problem that an existing fish shoal ingestion state classification method cannot be applied to a complex industrial culture environment, and the method comprises the steps: collecting a depth image of a fish shoal in a one-time complete ingestion process through a depth camera; converting the depth image into a depth pseudo-color image according to the depth change; marking the deep pseudo-color map according to strong ingestion, medium-intensity ingestion, weak ingestion and non-ingestion; constructing a simple convolutional neural network model, and training the simple convolutional neural network model by using the marked deep pseudo-color map to obtain a first detection model; and the first detection model is used for actually detecting the fish feeding state. According to the method, a depth camera is combined with an image processing program, so that a fish school fee