Using Water Monitoring to Analyze the Livability of White Shrimp

Wu Chih Hu, Hsin Te Wu, Jun We Zhan, Jing Mi Zhang, Fan Hsun Tseng

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The research develops an intelligent aquaculture system to detect the water quality of a culture pond. Additionally, using Fuzzy Logic to evaluate water quality that influences the aquaculture livability. Each species requires a different environment of water quality; therefore, the study utilizes an intelligent aquaculture system to detect the water quality of white shrimp ponds. After using Fuzzy Logic to analyze water quality, the result is delivered as equally divided into five levels of signals sections. The purpose of the research is to understand whether the aquaculture environment is suitable for white shrimps by detecting the water quality; consequently, through studying the livability to understand the importance of water quality. From the experimental results, the water quality of targeted aquaculture ponds are all within the livability range of white shrimp; the result has shown a livability rate of 33%, which is considered high livability in marine white shrimp farming. Hence, it is concluded that water quality has a high correlation with livability. Moreover, the study demonstrates that water monitoring and water quality analysis are beneficial to monitor the aquaculture environment, which can further increase the livability of white shrimp and boost income.

Original languageEnglish
Title of host publication6GN for Future Wireless Networks - Third EAI International Conference, 6GN 2020, Proceedings
EditorsXiaofei Wang, Victor C. Leung, Keqiu Li, Haijun Zhang, Xiping Hu, Qiang Liu
PublisherSpringer Science and Business Media Deutschland GmbH
Pages458-463
Number of pages6
ISBN (Print)9783030639402
DOIs
Publication statusPublished - 2020
Event3rd EAI International Conference on 6G for Future Wireless Networks, 6GN 2020 - Tianjin, China
Duration: 2020 Aug 152020 Aug 16

Publication series

NameLecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST
Volume337
ISSN (Print)1867-8211
ISSN (Electronic)1867-822X

Conference

Conference3rd EAI International Conference on 6G for Future Wireless Networks, 6GN 2020
Country/TerritoryChina
CityTianjin
Period20-08-1520-08-16

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications

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