Fish polyculture judgment method based on lightweight multi-task image recognition network and knowledge graph

Abstract

The present application relates to the technical field of intelligent breeding, and provides a fish mixed culture judgment method based on a lightweight multi-task image recognition network and a knowledge graph, which comprises: acquiring image data and sensor data, and pre-processing the image data to obtain an image to be recognized; inputting the image to be recognized into a pre-trained image recognition model to generate visual perception data; weighting and fusing the visual perception data and the sensor data to form a comprehensive feature vector; inputting the comprehensive feature vector into a pre-trained knowledge graph matching model, calculating the matching degree of the comprehensive feature vector and mixed culture rules in the knowledge graph according to a dynamic rule matching mechanism, and determining whether mixed culture is possible according to the matching degree. The present application solves the problem of low survival rate of existing fish mixed culture.

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