Recommendation method and recommendation system of pet feeding based on cloud data

The invention provides a recommendation method and a recommendation system of pet feeding based on cloud data. The method comprises the steps of acquiring the kind, sex, age, heartbeat rate, respiratory rate, body temperature, activity level, feeding type and feeding quantity of a pet, forming an influencing factor matrix X with the current image and the current weight, uploading the influencing factor matrix X to a server, forming decision variables with the feeding type and the feeding quantity, establishing a complicated nonlinear relation between the influencing factor matrix X and a pet health index in the server by utilizing an Elman neural network to obtain a pet feeding model, optimizing the pet feeding model by utilizing an MBFO algorithm to obtain optimal solutions of the decision variables, allowing the server to send the optimal solutions of the decision variables as a recommendation decision X* of the pet to terminal equipment of a user for displaying, and allowing the user to feed the pet according to the recommendation decision X* displayed by the terminal equipment. With the adoption of the method and the system, an optimal pet feeding scheme can be determined, and a good living environment is built for the pet.