Investigation on water quality for farmed aquatic species by IoT monitoring system
The objective of this research is to optimize fish growth in super-intensive aquaculture systems by addressing water quality issues. Changes in water parameters can significantly impact fish growth and even lead to mortality. To overcome this problem, real-time monitoring of water quality parameters...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Semarak Ilmu Publishing
2023
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/38445/1/Investigation%20on%20Water%20Quality%20for%20Farmed%20Aquatic%20Species.pdf |
| _version_ | 1796995868515106816 |
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| author | Syazwan Izharuddin, Mohamad Sabri Norazlianie, Sazali Ahmad Shahir, Jamaludin Wan Sharuzi, Wan Harun K., Kadirgama D., Ramasamy |
| author_facet | Syazwan Izharuddin, Mohamad Sabri Norazlianie, Sazali Ahmad Shahir, Jamaludin Wan Sharuzi, Wan Harun K., Kadirgama D., Ramasamy |
| author_sort | Syazwan Izharuddin, Mohamad Sabri |
| collection | UMP |
| description | The objective of this research is to optimize fish growth in super-intensive aquaculture systems by addressing water quality issues. Changes in water parameters can significantly impact fish growth and even lead to mortality. To overcome this problem, real-time monitoring of water quality parameters is crucial, and the data should be automatically transmitted to the entrepreneur through the Internet of Things (IoT). This allows the owner to access real-time data remotely, eliminating the need to be physically present at the fish cage. By monitoring the data on a smartphone, the owner can efficiently manage the water quality. In this study, a water quality monitoring system utilizing temperature, pH, and ESP32, with the parameter values displayed on the Blynk platform was developed. The system successfully measures real-time water conditions and transmits the data to the Blynk application. The test results demonstrate the system's capability to receive and send data, but further analysis is needed to evaluate the accuracy and reliability of the measurements and identify any noteworthy findings. |
| first_indexed | 2024-03-06T13:08:36Z |
| format | Article |
| id | UMPir38445 |
| institution | Universiti Malaysia Pahang |
| language | English |
| last_indexed | 2024-03-06T13:08:36Z |
| publishDate | 2023 |
| publisher | Semarak Ilmu Publishing |
| record_format | dspace |
| spelling | UMPir384452023-10-16T03:26:48Z http://umpir.ump.edu.my/id/eprint/38445/ Investigation on water quality for farmed aquatic species by IoT monitoring system Syazwan Izharuddin, Mohamad Sabri Norazlianie, Sazali Ahmad Shahir, Jamaludin Wan Sharuzi, Wan Harun K., Kadirgama D., Ramasamy TJ Mechanical engineering and machinery TK Electrical engineering. Electronics Nuclear engineering TS Manufactures The objective of this research is to optimize fish growth in super-intensive aquaculture systems by addressing water quality issues. Changes in water parameters can significantly impact fish growth and even lead to mortality. To overcome this problem, real-time monitoring of water quality parameters is crucial, and the data should be automatically transmitted to the entrepreneur through the Internet of Things (IoT). This allows the owner to access real-time data remotely, eliminating the need to be physically present at the fish cage. By monitoring the data on a smartphone, the owner can efficiently manage the water quality. In this study, a water quality monitoring system utilizing temperature, pH, and ESP32, with the parameter values displayed on the Blynk platform was developed. The system successfully measures real-time water conditions and transmits the data to the Blynk application. The test results demonstrate the system's capability to receive and send data, but further analysis is needed to evaluate the accuracy and reliability of the measurements and identify any noteworthy findings. Semarak Ilmu Publishing 2023-08 Article PeerReviewed pdf en cc_by_nc_4 http://umpir.ump.edu.my/id/eprint/38445/1/Investigation%20on%20Water%20Quality%20for%20Farmed%20Aquatic%20Species.pdf Syazwan Izharuddin, Mohamad Sabri and Norazlianie, Sazali and Ahmad Shahir, Jamaludin and Wan Sharuzi, Wan Harun and K., Kadirgama and D., Ramasamy (2023) Investigation on water quality for farmed aquatic species by IoT monitoring system. Journal of Advanced Research in Applied Sciences and Engineering Technology, 31 (3). pp. 317-327. ISSN 2462-1943. (Published) https://doi.org/10.37934/araset.31.3.317327 https://doi.org/10.37934/araset.31.3.317327 |
| spellingShingle | TJ Mechanical engineering and machinery TK Electrical engineering. Electronics Nuclear engineering TS Manufactures Syazwan Izharuddin, Mohamad Sabri Norazlianie, Sazali Ahmad Shahir, Jamaludin Wan Sharuzi, Wan Harun K., Kadirgama D., Ramasamy Investigation on water quality for farmed aquatic species by IoT monitoring system |
| title | Investigation on water quality for farmed aquatic species by IoT monitoring system |
| title_full | Investigation on water quality for farmed aquatic species by IoT monitoring system |
| title_fullStr | Investigation on water quality for farmed aquatic species by IoT monitoring system |
| title_full_unstemmed | Investigation on water quality for farmed aquatic species by IoT monitoring system |
| title_short | Investigation on water quality for farmed aquatic species by IoT monitoring system |
| title_sort | investigation on water quality for farmed aquatic species by iot monitoring system |
| topic | TJ Mechanical engineering and machinery TK Electrical engineering. Electronics Nuclear engineering TS Manufactures |
| url | http://umpir.ump.edu.my/id/eprint/38445/1/Investigation%20on%20Water%20Quality%20for%20Farmed%20Aquatic%20Species.pdf |
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