Title: A Remote Wireless System for Water Quality Online Monitoring in Intensive Fish Culture

Water quality monitoring and forecasting plays an important role in modern intensive fish farming management. This paper describes an online water quality monitoring system for intensive fish culture in China, which combined web-server-embedded technology with mobile telecommunication technology. Based on historical data, this system is designed to forecast water quality with artificial neural networks (ANNs) and control the water quality in time to reduce catastrophic losses. The forecasting model for dissolved oxygen half an hour ahead has been validated with experimental data. The results demonstrate that multi-parametric, long-distance and online monitoring for water quality information can be accurately acquired and predicted by using this established monitoring system.

Click Here For Complete Abstract Text

 

   Person Information
  •     He, Dongxian  -  China Agricultural University

  •     Li, Daoliang  -  China Agricultural University

  •     Li, Feifei  -  China Agricultural University

  •     Ma, Daokun  -  China Agricultural University

  •     Wang, Jianqin  -  China Agricultural University

  •     Zhu, Xiuna  -  China Agricultural University

   Application Sequencing
 112511 - Finfish Farming and Fish Hatcheries                
Company  Product  Process  Other  Subjects  Event  Event  Date  Location  Publication  Publication  Date Text  Descriptor
  • China Agricultural University

  • Neural Network

  • Remote

  • Water Monitoring

 

  • Water Quality Influencer

 

 

  • China

 

  • Computers & Electronics in Agriculture-Elsevier

 

  • 4/1/2010

 

  • Abstract