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2013 | OriginalPaper | Chapter

Remote Monitoring of Water Quality for Intensive Fish Culture

Authors : D. Li, S. Liu

Published in: Smart Sensors for Real-Time Water Quality Monitoring

Publisher: Springer Berlin Heidelberg

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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 is combined with web-server-embedded and 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.

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Metadata
Title
Remote Monitoring of Water Quality for Intensive Fish Culture
Authors
D. Li
S. Liu
Copyright Year
2013
Publisher
Springer Berlin Heidelberg
DOI
https://doi.org/10.1007/978-3-642-37006-9_10