水产养殖智能投饵技术研究进展.

In aquaculture, the cost of feeding is the main factor affecting the efficiency of breeding, accounting for 40 to 80 percent of the total cost. Therefore, how to do scientific feeding is the key to reducing the cost of breeding and increase the economic benefits of breeding. Intelligent feeding is a feeding method of using all kinds of sensors to get the global information in the process of feeding, and combining with the relevant algorithm and model, the information is fed back to the control system to adjust the feeding strategy. It is also an effective means to achieve scientific feeding and improve efficiency. In recent years, some achievements have been made in the research of intelligent feeding in aquaculture, but there are still challenges in the realization of intelligent feeding due to many uncertain factors in aquaculture. The research status of automatic feeding machine and automatic feeding system is introduced. The intelligent feeding methods based on machine vision, acoustics, water quality parameters and biological model are summarized, the advantages and disadvantages of these methods are also summarized. In the future, in order to improve the accuracy of feeding intensity assessment and the adaptability of the intelligent feeding system to the breeding environment, we should strengthen the comprehensive analysis and application of the information such as image, voice, environmental factors and biological models in the process of fish feeding. [ABSTRACT FROM AUTHOR]