Retrofitting High-Tech Systems in Land-based Aquaculture to Improve Production Efficiency: An Automated Expert System Architecture

نویسندگان

  • N. G. P. C. Mahalik
  • Kiseon Kim
چکیده

This paper presents work on retrofitting of high-tech systems (HTS) in land-based aquaculture system for improving production efficiency. The objective is to develop architecture for an automated system for aquaculture farming. We call this development an automated expert system architecture (AESA). The article has been organized into four parts. First, it reviews the background and business opportunity on aquaculture, which includes fish and seaweed farming. We have proposed a six-layer model for the development of a fully contained total automation system along with approaches and methods. The developed software platform was tested with a laboratory based demonstration rig.

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تاریخ انتشار 2014