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This paper presents an automated Internet of Things (IoT)-based system designed to monitor and control environmental conditions within a fish aquarium. Maintaining optimal water quality parameters such as temperature, pH level, turbidity, and water level is crucial for ensuring fish health and survival. Traditional aquarium management methods rely on manual observation and periodic testing, which are often inaccurate, inefficient, and prone to human error. To overcome these limitations, the proposed Smart Fish Aquarium integrates multiple sensors with a NodeMCU (ESP8266) microcontroller connected to a cloud platform. The system continuously collects real-time data from sensors, processes it using embedded automation logic, and triggers control actions—such as operating a heater, aerator, or water pump—through relay modules. Additionally, users can remotely monitor aquarium conditions and receive alerts via a mobile or web dashboard using Wi-Fi or GSM communication. Operating on a client–server model, the proposed IoT-based Smart Fish Aquarium promotes sustainable aquatic management, reduces manual effort, and ensures a stable and healthy environment for aquatic life.
"IoT-Based Smart Fish Aquarium System for Real-Time Water Quality Monitoring and Automated Control", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 11, page no.a511-a515, November-2025, Available :http://www.ijrti.org/papers/IJRTI2511061.pdf
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2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator