In aquaculture, feed cost occupies a large proportion of the total cost of aquaculture. Effective feeding strategies are an important way to reduce the cost of aquaculture production. During the feeding process of feeding equipment, both the growth and nutritional needs of the fish must be met, and excessive feeding should be avoided to reduce environmental pollution. At present, the intelligence level of domestic aquaculture feeding equipment is relatively low. The feeding strategy is mainly based on artificial experience and quantitative feeding. The deviation of each feeding cumulatively affects the economic benefits of the entire catch. Therefore, scientific feeding strategies can effectively reduce the cost of farming and improve the welfare of farming. This paper mainly introduces the fish growth and feeding model based on artificial experience and bioenergy flow, the technical methods of sensing fish feeding behavior based on machine vision and machine acoustics, and the development status of intelligent feeding control system, and proposes the specific implementation of feeding strategies to provide a reference for the upgrading of aquaculture feeding equipment from automatic to intelligent.