Improving Fish Quality and Yield: An Automated Monitoring System for Intensive Aquaculture
The growing interest in the fish farming industry is driven by the depletion of natural fish stocks in the market. However, intensive aquaculture systems, which involve raising fish in artificial tanks and cages, can lead to challenges such as low-quality fish and increased mortality rates, dependin...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Penteract Technology
2024-04-01
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| Series: | Malaysian Journal of Science and Advanced Technology |
| Subjects: | |
| Online Access: | https://mjsat.com.my/index.php/mjsat/article/view/296 |
| _version_ | 1827291945339191296 |
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| author | Anne Dashini Kannan Chong Peng Lean Li Chen Feng Yuan Kong Poh Kiat Ng Mohammed Reyasudin Basir Khan |
| author_facet | Anne Dashini Kannan Chong Peng Lean Li Chen Feng Yuan Kong Poh Kiat Ng Mohammed Reyasudin Basir Khan |
| author_sort | Anne Dashini Kannan |
| collection | DOAJ |
| description | The growing interest in the fish farming industry is driven by the depletion of natural fish stocks in the market. However, intensive aquaculture systems, which involve raising fish in artificial tanks and cages, can lead to challenges such as low-quality fish and increased mortality rates, depending on the species being cultivated. To address these issues and maximize yield, this paper proposes a fish quality monitoring system with automatic correction. The system focuses on monitoring and maintaining critical water quality parameters essential for fish growth, including temperature, water level, and pH level. The system comprises an Arduino connected to sensors and a web-based application for data collection and monitoring. Correction devices such as an aquarium heater, a valve, and a water pump are integrated into the system to maintain these parameters at optimal levels for fish development. To assess the system's efficiency and reliability, two fish monitoring setups were compared: one using the proposed controlled system and the other using a traditional setup. Results indicate that the controlled system increased efficiency, reduced stress on fish farmers, decreased fish mortality rates, and improved product quality compared to the traditional setup.
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| first_indexed | 2024-04-24T12:47:09Z |
| format | Article |
| id | doaj.art-b67b8076df6a47599a1f422c158c7323 |
| institution | Directory Open Access Journal |
| issn | 2785-8901 |
| language | English |
| last_indexed | 2024-04-24T12:47:09Z |
| publishDate | 2024-04-01 |
| publisher | Penteract Technology |
| record_format | Article |
| series | Malaysian Journal of Science and Advanced Technology |
| spelling | doaj.art-b67b8076df6a47599a1f422c158c73232024-04-07T01:24:51ZengPenteract TechnologyMalaysian Journal of Science and Advanced Technology2785-89012024-04-014210.56532/mjsat.v4i2.296Improving Fish Quality and Yield: An Automated Monitoring System for Intensive AquacultureAnne Dashini Kannan0Chong Peng Lean1Li Chen2Feng Yuan Kong 3Poh Kiat Ng4Mohammed Reyasudin Basir Khan5School of Engineering and Computing, MILA University, No 1, MIU Boulevard, Putra Nilai, Nilai 71800, MalaysiaSchool of Engineering and Computing, MILA University, No 1, MIU Boulevard, Putra Nilai, Nilai 71800, MalaysiaHainan Yuanli Artificial intelligence Technology Co.,Ltd., Room 207, Building B, No.3 Haitao Avenue, Jiangdong New District, Haikou City, Hainan Province, ChinaFaculty of Engineering and Technology, Multimedia University, Jalan Ayer Keroh Lama, Melaka 75450, MalaysiaFaculty of Engineering and Technology, Multimedia University, Jalan Ayer Keroh Lama, Melaka 75450, MalaysiaTun Razak Graduate School (TRGS), Universiti Tun Abdul Razak (UNIRAZAK), Wisma UNIRAZAK, 195A, Jln Tun Razak, Hampshire Park, Kuala Lumpur, 50450, MalaysiaThe growing interest in the fish farming industry is driven by the depletion of natural fish stocks in the market. However, intensive aquaculture systems, which involve raising fish in artificial tanks and cages, can lead to challenges such as low-quality fish and increased mortality rates, depending on the species being cultivated. To address these issues and maximize yield, this paper proposes a fish quality monitoring system with automatic correction. The system focuses on monitoring and maintaining critical water quality parameters essential for fish growth, including temperature, water level, and pH level. The system comprises an Arduino connected to sensors and a web-based application for data collection and monitoring. Correction devices such as an aquarium heater, a valve, and a water pump are integrated into the system to maintain these parameters at optimal levels for fish development. To assess the system's efficiency and reliability, two fish monitoring setups were compared: one using the proposed controlled system and the other using a traditional setup. Results indicate that the controlled system increased efficiency, reduced stress on fish farmers, decreased fish mortality rates, and improved product quality compared to the traditional setup. https://mjsat.com.my/index.php/mjsat/article/view/296Fish Monitoring System ArduinoFish farm Internet of ThingsSensors |
| spellingShingle | Anne Dashini Kannan Chong Peng Lean Li Chen Feng Yuan Kong Poh Kiat Ng Mohammed Reyasudin Basir Khan Improving Fish Quality and Yield: An Automated Monitoring System for Intensive Aquaculture Malaysian Journal of Science and Advanced Technology Fish Monitoring System Arduino Fish farm Internet of Things Sensors |
| title | Improving Fish Quality and Yield: An Automated Monitoring System for Intensive Aquaculture |
| title_full | Improving Fish Quality and Yield: An Automated Monitoring System for Intensive Aquaculture |
| title_fullStr | Improving Fish Quality and Yield: An Automated Monitoring System for Intensive Aquaculture |
| title_full_unstemmed | Improving Fish Quality and Yield: An Automated Monitoring System for Intensive Aquaculture |
| title_short | Improving Fish Quality and Yield: An Automated Monitoring System for Intensive Aquaculture |
| title_sort | improving fish quality and yield an automated monitoring system for intensive aquaculture |
| topic | Fish Monitoring System Arduino Fish farm Internet of Things Sensors |
| url | https://mjsat.com.my/index.php/mjsat/article/view/296 |
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