Design and development of an IoT-based intelligent water quality management system for aquaculture
Abstract Water quality is generally known to directly affect the health and growth rate of aquatic organisms and determines the success of any aquaculture fish production. However, water quality problems are difficult to detect early in aquaculture production facilities, largely because it requires...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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SpringerOpen
2024-03-01
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| Series: | Journal of Electrical Systems and Information Technology |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s43067-024-00139-z |
| _version_ | 1797266935281352704 |
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| author | Olumide Oluseye Olanubi Theddeus Tochukwu Akano Olumuyiwa Sunday Asaolu |
| author_facet | Olumide Oluseye Olanubi Theddeus Tochukwu Akano Olumuyiwa Sunday Asaolu |
| author_sort | Olumide Oluseye Olanubi |
| collection | DOAJ |
| description | Abstract Water quality is generally known to directly affect the health and growth rate of aquatic organisms and determines the success of any aquaculture fish production. However, water quality problems are difficult to detect early in aquaculture production facilities, largely because it requires a high level of technical understanding of the physio-chemical properties of water. In this research, an IoT-based intelligent water quality management system for aquaculture was designed and developed to monitor temperature, pH, and turbidity. ESP32 Microcontroller programmed with the C programming language was used to implement the smart control module which received data from the sensors and transmitted to a cloud database. A web application was also developed which enabled real-time monitoring and control of the system by a user from anywhere in the world, via any internet-connected device. Alarms and notifications could be received via WhatsApp Messenger. The system demonstrated capacity to improve the efficiency and productivity of aquaculture production. |
| first_indexed | 2024-04-25T01:08:35Z |
| format | Article |
| id | doaj.art-b14fc2ae733d4733a385a023a1d34c59 |
| institution | Directory Open Access Journal |
| issn | 2314-7172 |
| language | English |
| last_indexed | 2024-04-25T01:08:35Z |
| publishDate | 2024-03-01 |
| publisher | SpringerOpen |
| record_format | Article |
| series | Journal of Electrical Systems and Information Technology |
| spelling | doaj.art-b14fc2ae733d4733a385a023a1d34c592024-03-10T12:08:07ZengSpringerOpenJournal of Electrical Systems and Information Technology2314-71722024-03-0111112310.1186/s43067-024-00139-zDesign and development of an IoT-based intelligent water quality management system for aquacultureOlumide Oluseye Olanubi0Theddeus Tochukwu Akano1Olumuyiwa Sunday Asaolu2Department of Systems Engineering, University of LagosDepartment of Mechanical Engineering, University of BotswanaDepartment of Systems Engineering, University of LagosAbstract Water quality is generally known to directly affect the health and growth rate of aquatic organisms and determines the success of any aquaculture fish production. However, water quality problems are difficult to detect early in aquaculture production facilities, largely because it requires a high level of technical understanding of the physio-chemical properties of water. In this research, an IoT-based intelligent water quality management system for aquaculture was designed and developed to monitor temperature, pH, and turbidity. ESP32 Microcontroller programmed with the C programming language was used to implement the smart control module which received data from the sensors and transmitted to a cloud database. A web application was also developed which enabled real-time monitoring and control of the system by a user from anywhere in the world, via any internet-connected device. Alarms and notifications could be received via WhatsApp Messenger. The system demonstrated capacity to improve the efficiency and productivity of aquaculture production.https://doi.org/10.1186/s43067-024-00139-zAquacultureWater qualityIoTAquatic organisms |
| spellingShingle | Olumide Oluseye Olanubi Theddeus Tochukwu Akano Olumuyiwa Sunday Asaolu Design and development of an IoT-based intelligent water quality management system for aquaculture Journal of Electrical Systems and Information Technology Aquaculture Water quality IoT Aquatic organisms |
| title | Design and development of an IoT-based intelligent water quality management system for aquaculture |
| title_full | Design and development of an IoT-based intelligent water quality management system for aquaculture |
| title_fullStr | Design and development of an IoT-based intelligent water quality management system for aquaculture |
| title_full_unstemmed | Design and development of an IoT-based intelligent water quality management system for aquaculture |
| title_short | Design and development of an IoT-based intelligent water quality management system for aquaculture |
| title_sort | design and development of an iot based intelligent water quality management system for aquaculture |
| topic | Aquaculture Water quality IoT Aquatic organisms |
| url | https://doi.org/10.1186/s43067-024-00139-z |
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