The invention discloses a method for generating a pet
fresh food customized formula based on atlas and multi-
modal recognition, and relates to the technical field of pet
fresh food, and the method comprises the steps: collecting
food material information of different
fresh food, extracting
food material parts, constructing a
knowledge base, constructing a unified node type for the
knowledge base and a knowledge atlas, and generating a fresh food formula. The method has the advantages that an exclusive scheme can be generated according to the differentiated requirements of
calcium supplement of puppies,
phosphorus control of old dogs and the like, meanwhile, the content of nutrients such as
protein and vitamins is adjusted by means of the index of the deviation degree of the single
nutrition values, and the nutritional value deviation degree of the puppies and the old dogs is optimized. According to the method, the formula is ensured to meet the actual requirements of pets, the
health risk caused by
nutrient imbalance is reduced, when food materials or pet types are added subsequently, services can be expanded only by supplementing data, reusable and easily-expanded data assets are formed, long-term technical iteration is supported, and double improvement of precise customization and convenient experience is achieved.