Abstract
In order to improve the level of intensive factory aquaculture, an intelligent monitoring system with PROFIBUS-DP network is designed. The main parameters of the culture environment and their control methods are discussed. The human-machine interface and database are developed to achieve real-time acquisition, monitoring and process of culture data. A disease diagnosis system combining with case-based reasoning and fuzzy logic is designed, which provides great convenience for the users and improves the quality of aquaculture.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
