Development of an Automated Aquarium Monitoring System with an IoT Interface using Google Sheets
This paper presents the development of an automated aquarium monitoring system with an IOT interface using google sheets; the system autonomously monitors key water quality parameters temperature, pH, and turbidity while automating fish feeding and water replacement functions. An ESP32 microcontrol...
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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
2025-05-01
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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/1455 |
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| author | Theodore Tochuckwu Chiagunye Somtochukwu Francis Ilo Godspower Ikechukwu Ndukwe Henrietta Uchenna Udeani Ogobuchi Daniel Okey |
| author_facet | Theodore Tochuckwu Chiagunye Somtochukwu Francis Ilo Godspower Ikechukwu Ndukwe Henrietta Uchenna Udeani Ogobuchi Daniel Okey |
| author_sort | Theodore Tochuckwu Chiagunye |
| collection | DOAJ |
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This paper presents the development of an automated aquarium monitoring system with an IOT interface using google sheets; the system autonomously monitors key water quality parameters temperature, pH, and turbidity while automating fish feeding and water replacement functions. An ESP32 microcontroller serves as the system’s core, control unit which is programmed using C++ to transmit environmental data to a cloud-based Google Sheet. A servo motor dispenses feed precisely every 12 hours, while two DC pumps are triggered automatically when turbidity exceeds 50 NTU, ensuring proactive water quality management. The designed system is powered by a 30W solar panel and a charge controller coupled with a 12V lead-acid battery, allowing continuous operation in off-grid locations. The system performance test was conducted over a period of five days and was validated by comparing the sensor outputs with results of the manual measurements obtained by using laboratory-grade instruments. The results demonstrated high accuracy, with average deviations of only 1.95% for temperature, 2.09% for pH, and 1.96% for turbidity when compared with the result obtained from the manual measurement. Also the automated feeding and water replacement mechanisms operated with 100% reliability by being able dispense the feed from the hoper at every 12 hours interval and changing the water once the turbidity is equals or above 50 NTU. Hence the proposed system successfully enhanced automation, real-time cloud integration, and renewable power supply for improved fish aquarium management, thereby offering a compelling alternative to labour-intensive and manually operated systems while laying the groundwork for intelligent, data-driven fish farming practices.
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| format | Article |
| id | doaj-art-02f3e961af43424f8fbbb4c595c8a42a |
| institution | OA Journals |
| issn | 2756-6811 2645-2685 |
| language | English |
| publishDate | 2025-05-01 |
| 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-02f3e961af43424f8fbbb4c595c8a42a2025-08-20T02:25:16ZengCollege of Engineering of Afe Babalola University, Ado-Ekiti (ABUAD), Ekiti State, NigeriaABUAD Journal of Engineering Research and Development2756-68112645-26852025-05-018210.53982/ajerd.2025.0802.07-jDevelopment of an Automated Aquarium Monitoring System with an IoT Interface using Google SheetsTheodore Tochuckwu Chiagunye0Somtochukwu Francis Ilo1Godspower Ikechukwu Ndukwe2Henrietta Uchenna Udeani3Ogobuchi Daniel Okey4Department of Computer Engineering, Michael Okpara University of Agriculture Umudike, Abia State NigeriaDepartment of Computer Engineering, Michael Okpara University of Agriculture Umudike, Abia State NigeriaDepartment of Computer Engineering, Michael Okpara University of Agriculture Umudike, Abia State NigeriaDepartment of Computer Engineering, Michael Okpara University of Agriculture Umudike, Abia State NigeriaDepartment of Computer Engineering, Michael Okpara University of Agriculture Umudike, Abia State Nigeria & Center for Engineering, Modeling and Applied Science, Federal University of ABC, Santo Andre, Sao Paulo, Brazil This paper presents the development of an automated aquarium monitoring system with an IOT interface using google sheets; the system autonomously monitors key water quality parameters temperature, pH, and turbidity while automating fish feeding and water replacement functions. An ESP32 microcontroller serves as the system’s core, control unit which is programmed using C++ to transmit environmental data to a cloud-based Google Sheet. A servo motor dispenses feed precisely every 12 hours, while two DC pumps are triggered automatically when turbidity exceeds 50 NTU, ensuring proactive water quality management. The designed system is powered by a 30W solar panel and a charge controller coupled with a 12V lead-acid battery, allowing continuous operation in off-grid locations. The system performance test was conducted over a period of five days and was validated by comparing the sensor outputs with results of the manual measurements obtained by using laboratory-grade instruments. The results demonstrated high accuracy, with average deviations of only 1.95% for temperature, 2.09% for pH, and 1.96% for turbidity when compared with the result obtained from the manual measurement. Also the automated feeding and water replacement mechanisms operated with 100% reliability by being able dispense the feed from the hoper at every 12 hours interval and changing the water once the turbidity is equals or above 50 NTU. Hence the proposed system successfully enhanced automation, real-time cloud integration, and renewable power supply for improved fish aquarium management, thereby offering a compelling alternative to labour-intensive and manually operated systems while laying the groundwork for intelligent, data-driven fish farming practices. https://journals.abuad.edu.ng/index.php/ajerd/article/view/1455Fishpond Monitoring SystemInternet of Things (IoT)Google SheetESP32 MicrocontrollerIntelligent Systems |
| spellingShingle | Theodore Tochuckwu Chiagunye Somtochukwu Francis Ilo Godspower Ikechukwu Ndukwe Henrietta Uchenna Udeani Ogobuchi Daniel Okey Development of an Automated Aquarium Monitoring System with an IoT Interface using Google Sheets ABUAD Journal of Engineering Research and Development Fishpond Monitoring System Internet of Things (IoT) Google Sheet ESP32 Microcontroller Intelligent Systems |
| title | Development of an Automated Aquarium Monitoring System with an IoT Interface using Google Sheets |
| title_full | Development of an Automated Aquarium Monitoring System with an IoT Interface using Google Sheets |
| title_fullStr | Development of an Automated Aquarium Monitoring System with an IoT Interface using Google Sheets |
| title_full_unstemmed | Development of an Automated Aquarium Monitoring System with an IoT Interface using Google Sheets |
| title_short | Development of an Automated Aquarium Monitoring System with an IoT Interface using Google Sheets |
| title_sort | development of an automated aquarium monitoring system with an iot interface using google sheets |
| topic | Fishpond Monitoring System Internet of Things (IoT) Google Sheet ESP32 Microcontroller Intelligent Systems |
| url | https://journals.abuad.edu.ng/index.php/ajerd/article/view/1455 |
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