An IoT-Enabled Smart Aquarium System for Real-Time Water Quality Monitoring and Automated Feeding
MD Fatin Ishraque Ayon, Sabrin Nahar, Ataur Rahman, Md. Taslim Arif, Abdul Hasib, A. S. M. Ahsanul Sarkar Akib

TL;DR
This paper introduces an IoT-based smart aquarium system that enables real-time water quality monitoring and automated feeding, improving maintenance efficiency and aquatic health management.
Contribution
It presents a novel integrated IoT system with edge processing and cloud connectivity for comprehensive aquarium management, demonstrating high accuracy and reliability in real-world tests.
Findings
96% sensor accuracy achieved
1.2-second anomaly detection response time
97% operational reliability in extended testing
Abstract
Maintaining optimal water quality in aquariums is critical for aquatic health but remains challenging due to the need for continuous monitoring of multiple parameters. Traditional manual methods are inefficient, labor-intensive, and prone to human error, often leading to suboptimal aquatic conditions. This paper presents an IoT-based smart aquarium system that addresses these limitations by integrating an ESP32 microcontroller with multiple sensors (pH, TDS, temperature, turbidity) and actuators (servo feeder, water pump) for comprehensive real-time water quality monitoring and automated control. The system architecture incorporates edge processing capabilities, cloud connectivity via Blynk IoT platform, and an intelligent alert mechanism with configurable cooldown periods to prevent notification fatigue. Experimental evaluation in a 10-liter aquarium environment demonstrated the…
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Taxonomy
TopicsWater Quality Monitoring Technologies · Innovations in Aquaponics and Hydroponics Systems · Hydrological Forecasting Using AI
