Towards Sustainable Aquaculture: An IoT-Driven Indoor Fish Farming System

This study presents an innovative IoT-driven fish farming system to enhance aquaculture efficiency and sustainability. The system utilizes Arduino microcontrollers integrated with DS18B20 temperature sensors and analog pH meters to enable real-time monitoring and control of environmental conditions. Key functionalities include automated fish feeding, dynamic feed quantity calculations, and pH adjustments using a mobile application interface. The system demonstrated effective temperature and pH regulation, though minor variations were noted in the automated feeding mechanism. Alerts for critical conditions were generally timely but occasionally delayed during simultaneous updates. This IoT-based solution significantly improves fish farming management, contributing to the optimal well-being of aquatic species.

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Publication Details

Published
2024-09-12
DOI
https://doi.org/10.1109/peeiacon63629.2024.10800321
Citations
1
Primary Topic
Water Quality Monitoring Technologies
Type
article
Field-Weighted Citation Impact
0.20
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article

Towards Sustainable Aquaculture: An IoT-Driven Indoor Fish Farming System

Fazle Rabbi, Indrojit Sarkar, Md. Ashiqul Haider Chowdhury, Md. Ayenul Azim
1 citations
Water Quality Monitoring Technologies
0.20
article

Towards Sustainable Aquaculture: An IoT-Driven Indoor Fish Farming System

Fazle Rabbi, Indrojit Sarkar, Md. Ashiqul Haider Chowdhury, Md. Ayenul Azim
article en
1 citations

Abstract

This study presents an innovative IoT-driven fish farming system to enhance aquaculture efficiency and sustainability. The system utilizes Arduino microcontrollers integrated with DS18B20 temperature sensors and analog pH meters to enable real-time monitoring and control of environmental conditions. Key functionalities include automated fish feeding, dynamic feed quantity calculations, and pH adjustments using a mobile application interface. The system demonstrated effective temperature and pH regulation, though minor variations were noted in the automated feeding mechanism. Alerts for critical conditions were generally timely but occasionally delayed during simultaneous updates. This IoT-based solution significantly improves fish farming management, contributing to the optimal well-being of aquatic species.

Bangladesh University of Engineering and Technology (BD)
Zero hunger
Openalex Percentile: Top 43%
Water Quality Monitoring Technologies
0.20
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