• DocumentCode
    3072430
  • Title

    Aquaculture Monitoring System

  • Author

    Wenmei, Lin ; Yuzhen, Liu

  • Author_Institution
    Coll. of Electrics & Inf. Eng., Liaoning Tech. Univ., Huludao, China
  • Volume
    2
  • fYear
    2010
  • fDate
    16-18 July 2010
  • Firstpage
    138
  • Lastpage
    141
  • Abstract
    A intelligent supervising and control system about multi-factors are researched and applied in aquiculture. Expert system and image processing are introduced to automatically diagnose and predict the illness of fish. Remote sampling and control of data are realized by mobile GPRS telecommunication technology and Internet technology. The test results prove that the system can be operated simply and has a good interface. It can control many environmental factors in pond in real time and diagnose the fish illness on line. The system can reduce the work load of a large number, the implementation of fully automated real-time operation, made in a timely manner to various emergency situations reflected avoid or reduce losses, greatly increased efficiency and cost-effectiveness, and to promote the gradual automation of farming industry in China Development.
  • Keywords
    Internet; aquaculture; computerised monitoring; expert systems; image processing; packet radio networks; China development; Internet technology; aquaculture monitoring system; expert system; farming industry; global packet radio service; image processing; intelligent control system; intelligent supervising system; mobile GPRS telecommunication technology; remote sampling; Computers; Marine animals; Modems; Pixel; Remote monitoring; Wireless communication; Aquiculture; Image processing; Intelligence; Remote measurement and control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Technology and Applications (IFITA), 2010 International Forum on
  • Conference_Location
    Kunming
  • Print_ISBN
    978-1-4244-7621-3
  • Electronic_ISBN
    978-1-4244-7622-0
  • Type

    conf

  • DOI
    10.1109/IFITA.2010.291
  • Filename
    5634885