By leveraging the innovative advantages of integrating information technologies such as machine vision and spectral analysis with agricultural machinery, agronomy, bioinformatics, etc., and focusing on the needs of breeding, cultivation management, robot operations, and other scenarios, we conduct research on core algorithms for identifying the morphological, physiological, disease, and behavioral characteristics of animals and plants.