Application of a web-based multi-factor intelligent precision feeding system for fish

Abstract

Abstract Precise feeding is an effective guarantee to improve the welfare of aquatic animals, increase culture efficiency and reduce environmental pollution, whereas internet of things (IoT) technology is an important means to promote the development of informatization and intelligence of aquaculture. In order to improve the precision, informatization and intelligence of fish feeding management, this paper proposed a multi-factor feeding system based on IoT technology, which integrates feeding management model, water quality monitoring system, fish feeding activity sensor, automatic feeding machine and software platform. Through the step-by-step regulation of general control + fine adjustment + precision adjustment to adjust the feeding amount, feeding speed and feeding duration of the automatic feeding machine, the system can not only achieve the precise and intelligent control of the feeding operation, but also realize the remote centralized management of cultured ponds or tanks. Through the comparison between the intelligent feeding system and the manual feeding system, the results showed that the use of the system not only improved the growth of fish, but also reduced the feed consumption and discharge of nitrogen and phosphorus wastes. The successful application of the feeding system confirms the effectiveness, convenience, and provides data and technical support for future modern and sustainable development of aquaculture.