The system assists the aquaculture industry in solving the problems of production and output value through the two technologies of the Internet of Things and intelligent analysis. The related research and development design mainly introduces technologies such as sensors, UAV and intelligent analysis, and e-processes and carries out the whole process. A large amount of data statistics, calculations and analysis allow farmers to easily obtain the required farming information. The system will combine the Internet of Things (IoT) with externally deployed sensors and meteorological bureau data to collect environmental factors, which can instantly monitor the fish farm environment and provide an immediate environment for farmers. Information, combined with UAV for bird rushing, not only saves manpower costs for manual measurements, but also shortens the response time of farmers to environmental changes and bird repulsion, improving operational efficiency and reducing management burden. In addition, the environmental data and breeding logs collected by the manual method over the years, using the technology of data exploration, and introducing deep learning, can enable farmers to understand the impact of the environment and feeding factors on the cultured products, and facilitate the farmers to improve the feeding methods and enhance the aquatic products. Aquaculture product quality. To provide consumers with the required traceability information of aquatic products, so that consumers can understand the feeding history of the products and the overall production history, in order to achieve a true source of food safety, so that consumers can eat more assured.