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  • 标题:Design of an IoT Water Quality Monitoring System for Tropical Fish Aquaculture
  • 本地全文:下载
  • 作者:Ain Reduan ; Maizura Mohd Sani ; Suhaili Beeran Kutty
  • 期刊名称:International Journal of Academic Research in Business and Social Sciences
  • 电子版ISSN:2222-6990
  • 出版年度:2021
  • 卷号:11
  • 期号:9
  • 页码:173-183
  • DOI:10.6007/IJARBSS/v11-i9/10344
  • 语种:English
  • 出版社:Human Resource Management Academic Research Society
  • 摘要:Water quality is one of the most important factors in fish production and aquaculture. Good water quality helps the fish to live, feed, reproduce and grow. Monitoring water quality parameters is the first step before fish farmer can take action to ensure the water qualities is in the desired condition. Implementation of periodic manual lab sampling to check water quality is cumbersome while dependency on human visual inspection can be inaccurate. This paper proposed a technique to monitor water quality parameters such as turbidity, pH and temperature using an IoT system. Using electronic sensors and a microcontroller, the measurement of the parameters will be read before sending the values via SMS to the user. This system can help the users to know the present turbidity, pH and temperature of the pond water, so they will know when they should perform maintenance actions. The prototyped of the system has been tested for Sumatra Barb species and successfully tested with error measurement of 0, 0.1. 0.12 for turbidity, temperature and pH respectively.
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