Fish Feeder Automation for Home Aquariums with Holistic Water Quality Monitoring and Control Using IoT

This study seeks to explore various dimensions of fish tank management, aiming to improve the welfare of aquatic organisms through the integration of technological innovations. Key focus areas encompass the monitoring, the identification of fish diseases, the inhibition of algae proliferation, and the creation of an automated fish feeder equipped with remote control functionalities. The proposed methodologies utilize contemporary technologies, including online monitoring systems, image processing techniques, and mobile applications, to develop efficient and accessible tools for aquarists. The system continuously evaluates water quality and delivers real-time information to users. This capability facilitates timely interventions to sustain an optimal environment for fish, thereby mitigating potential health risks associated with substandard water conditions. Additionally, a significant component of this research involves the creation of a mobile application that employs image processing to detect fish diseases. By analyzing images taken through the application, sophisticated algorithms will recognize prevalent fish ailments, enabling early diagnosis and swift treatment. This method reduces the reliance on manual inspections and minimizes the likelihood of misdiagnosis, ultimately enhancing the health management of fish populations. A mobile application will be developed to forecast and inhibit algae proliferation in home aquariums. By evaluating a range of parameters, including illumination, nutrient concentrations, and water circulation, the application will offer tailored suggestions and protocols to curtail algae development. This anticipatory strategy minimizes the labor and resources necessary for algae management, thereby fostering a cleaner and more healthful habitat for the aquatic inhabitants. Additionally, an automated fish feeder will be created, which can be operated remotely via the mobile application, dispensing food in accordance with the fish's behavioral patterns. This device will enable fish keepers to plan and modify feeding schedules and portion sizes, even in their absence. The mobile app's user interface enhances convenience and adaptability, ensuring that the fish receive adequate nutrition and consistent feeding.

Authors

Publication Details

Journal
Current Journal of Engineering and Science Research
Published
2025-01-01
DOI
https://doi.org/10.47001/cjesr/2024.101004
Primary Topic
Water Quality Monitoring Technologies
Type
article
Field-Weighted Citation Impact
0.00
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article

Fish Feeder Automation for Home Aquariums with Holistic Water Quality Monitoring and Control Using IoT

Jacob S. Midenga, Caroline Koome
Current Journal of Engineering and Science Research
Water Quality Monitoring Technologies
article

Fish Feeder Automation for Home Aquariums with Holistic Water Quality Monitoring and Control Using IoT

Jacob S. Midenga, Caroline Koome
article en

Abstract

This study seeks to explore various dimensions of fish tank management, aiming to improve the welfare of aquatic organisms through the integration of technological innovations. Key focus areas encompass the monitoring, the identification of fish diseases, the inhibition of algae proliferation, and the creation of an automated fish feeder equipped with remote control functionalities. The proposed methodologies utilize contemporary technologies, including online monitoring systems, image processing techniques, and mobile applications, to develop efficient and accessible tools for aquarists. The system continuously evaluates water quality and delivers real-time information to users. This capability facilitates timely interventions to sustain an optimal environment for fish, thereby mitigating potential health risks associated with substandard water conditions. Additionally, a significant component of this research involves the creation of a mobile application that employs image processing to detect fish diseases. By analyzing images taken through the application, sophisticated algorithms will recognize prevalent fish ailments, enabling early diagnosis and swift treatment. This method reduces the reliance on manual inspections and minimizes the likelihood of misdiagnosis, ultimately enhancing the health management of fish populations. A mobile application will be developed to forecast and inhibit algae proliferation in home aquariums. By evaluating a range of parameters, including illumination, nutrient concentrations, and water circulation, the application will offer tailored suggestions and protocols to curtail algae development. This anticipatory strategy minimizes the labor and resources necessary for algae management, thereby fostering a cleaner and more healthful habitat for the aquatic inhabitants. Additionally, an automated fish feeder will be created, which can be operated remotely via the mobile application, dispensing food in accordance with the fish's behavioral patterns. This device will enable fish keepers to plan and modify feeding schedules and portion sizes, even in their absence. The mobile app's user interface enhances convenience and adaptability, ensuring that the fish receive adequate nutrition and consistent feeding.

Current Journal of Engineering and Science ResearchVol. 01(01)
Openalex Percentile: Top 93%
Water Quality Monitoring Technologies
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Fish Feeder Automation for Home Aquariums with Holistic Water Quality Monitoring and Control Using IoT — Jacob S. Midenga, Caroline Koome · Current Journal of Engineering and Science Research (2025) | TGRS Research Map | TGRS