Authors

Jacob S. Midenga

School of Pure and Applied Sciences, Department of Computing & Information Science, Kenyatta University, Kenya

Dr. Caroline Koome

School of Engineering and Architecture, Department of Electrical & Electronic Engineering, Kenyatta University, Kenya

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.

Keywords

Water quality monitoring fish disease detection proactive interventions domestic fish tanks automatic fish feeder real-time data algae growth prediction and image processing

Citation of this Article

Jacob S. Midenga, & Dr. Caroline Koome. (2024). Fish Feeder Automation for Home Aquariums with Holistic Water Quality Monitoring and Control Using IoT. Current Journal of Engineering and Science Research. 1(1), 27-38. Article DOI: https://doi.org/10.47001/CJESR/2024.101004

Licence Copyright (c) 2026 Current Journal of Engineering and Science Research. This work is licensed under a Creative Commons Attribution Non Commercial 4.0 International Licence.

References