Development of an IoT Based Water Quality Monitoring Device for Domestic Fish Ponds
This study focuses on developing an affordable IoT-based water quality monitoring system for domestic fish ponds. The system aims to enable remote monitoring of critical water parameters, offering real-time data access through mobile or web interfaces. It includes an alert system to notify the pond...
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| Format: | Article |
| Language: | English |
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College of Engineering of Afe Babalola University, Ado-Ekiti (ABUAD), Ekiti State, Nigeria
2024-03-01
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| Series: | ABUAD Journal of Engineering Research and Development |
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| Online Access: | https://journals.abuad.edu.ng/index.php/ajerd/article/view/332 |
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| _version_ | 1846099610162954240 |
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| author | Toju Esther Babalola Abayomi Danlami Babalola Adeomo Victor Goroti |
| author_facet | Toju Esther Babalola Abayomi Danlami Babalola Adeomo Victor Goroti |
| author_sort | Toju Esther Babalola |
| collection | DOAJ |
| description |
This study focuses on developing an affordable IoT-based water quality monitoring system for domestic fish ponds. The system aims to enable remote monitoring of critical water parameters, offering real-time data access through mobile or web interfaces. It includes an alert system to notify the pond owners of any significant changes in water quality, allowing swift corrective action. The initiative stems from challenges faced by aquaculture farmers due to insufficient knowledge about water pH levels. Understanding pH's importance, especially within the optimal range of 6.5-9.0 for fish culture, is crucial for success. Tests conducted on the system's performance in detecting various pH levels across different pond environments demonstrated its reliability in identifying low and normal pH levels. However, anomalies were observed in detecting higher pH levels, indicating potential sensitivity limitations that need further investigation for system refinement. While the system excelled in detecting low and normal pH levels accurately, improvements are required for detecting higher pH thresholds to ensure comprehensive monitoring across diverse water conditions. This enhancement is crucial for effective fish pond management and reducing losses for aquaculture farmers.
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| format | Article |
| id | doaj-art-d7f29169a2164d44aff6fede15f6e2d2 |
| institution | Kabale University |
| issn | 2756-6811 2645-2685 |
| language | English |
| publishDate | 2024-03-01 |
| publisher | College of Engineering of Afe Babalola University, Ado-Ekiti (ABUAD), Ekiti State, Nigeria |
| record_format | Article |
| series | ABUAD Journal of Engineering Research and Development |
| spelling | doaj-art-d7f29169a2164d44aff6fede15f6e2d22024-12-31T10:19:20ZengCollege of Engineering of Afe Babalola University, Ado-Ekiti (ABUAD), Ekiti State, NigeriaABUAD Journal of Engineering Research and Development2756-68112645-26852024-03-017110.53982/ajerd.2024.0701.08-j283Development of an IoT Based Water Quality Monitoring Device for Domestic Fish PondsToju Esther Babalola0Abayomi Danlami Babalola1Adeomo Victor GorotiDepartment of Water Resources Management and Agro-Met, Federal University Oye Ekiti, Ekiti State, NigeriaDepartment of Computer Engineering Federal Polytechnic Ile-Oluji, Ondo State, Nigeria This study focuses on developing an affordable IoT-based water quality monitoring system for domestic fish ponds. The system aims to enable remote monitoring of critical water parameters, offering real-time data access through mobile or web interfaces. It includes an alert system to notify the pond owners of any significant changes in water quality, allowing swift corrective action. The initiative stems from challenges faced by aquaculture farmers due to insufficient knowledge about water pH levels. Understanding pH's importance, especially within the optimal range of 6.5-9.0 for fish culture, is crucial for success. Tests conducted on the system's performance in detecting various pH levels across different pond environments demonstrated its reliability in identifying low and normal pH levels. However, anomalies were observed in detecting higher pH levels, indicating potential sensitivity limitations that need further investigation for system refinement. While the system excelled in detecting low and normal pH levels accurately, improvements are required for detecting higher pH thresholds to ensure comprehensive monitoring across diverse water conditions. This enhancement is crucial for effective fish pond management and reducing losses for aquaculture farmers. https://journals.abuad.edu.ng/index.php/ajerd/article/view/332pH LevelsThresholdsIoT-basedOptimal RangeAlertFishponds |
| spellingShingle | Toju Esther Babalola Abayomi Danlami Babalola Adeomo Victor Goroti Development of an IoT Based Water Quality Monitoring Device for Domestic Fish Ponds ABUAD Journal of Engineering Research and Development pH Levels Thresholds IoT-based Optimal Range Alert Fishponds |
| title | Development of an IoT Based Water Quality Monitoring Device for Domestic Fish Ponds |
| title_full | Development of an IoT Based Water Quality Monitoring Device for Domestic Fish Ponds |
| title_fullStr | Development of an IoT Based Water Quality Monitoring Device for Domestic Fish Ponds |
| title_full_unstemmed | Development of an IoT Based Water Quality Monitoring Device for Domestic Fish Ponds |
| title_short | Development of an IoT Based Water Quality Monitoring Device for Domestic Fish Ponds |
| title_sort | development of an iot based water quality monitoring device for domestic fish ponds |
| topic | pH Levels Thresholds IoT-based Optimal Range Alert Fishponds |
| url | https://journals.abuad.edu.ng/index.php/ajerd/article/view/332 |
| work_keys_str_mv | AT tojuestherbabalola developmentofaniotbasedwaterqualitymonitoringdevicefordomesticfishponds AT abayomidanlamibabalola developmentofaniotbasedwaterqualitymonitoringdevicefordomesticfishponds AT adeomovictorgoroti developmentofaniotbasedwaterqualitymonitoringdevicefordomesticfishponds |