Real-Time Adaptive Aeration Control and Monitoring for Aquaculture Ponds
- DOI
- 10.2991/978-94-6463-754-0_26How to use a DOI?
- Keywords
- Aquaculture; farming; aquatic organisms; food source; water quality; oxygen levels; aquaculture ponds; fish health and productivity
- Abstract
Aquaculture, the cultivation of aquatic organisms, is the primary food source of the world. Maintaining optimal water quality and oxygen levels in aquaculture ponds is essential for fish health and productivity. Traditional aeration systems waste energy and fail to distribute oxygen effectively because they operate on fixed schedules. This project solves these problems by developing a real-time adaptive aeration control and monitoring system. The system uses sensors and IoT devices to continuously monitor water quality parameters and oxygen levels, dynamically adjusting aeration rates based on real-time data. This approach ensures optimal oxygen distribution, improves fish health, and reduces energy consumption, making aquaculture more sustainable and efficient. The system provides a superior solution for enhancing aquaculture productivity while minimizing environmental impact.
- Copyright
- © 2025 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - K. Muthukumar AU - S. Nithesh Kumar AU - V. Ranjith Kumar AU - S. Vetrivel AU - S. Vishnu Prasath PY - 2025 DA - 2025/06/30 TI - Real-Time Adaptive Aeration Control and Monitoring for Aquaculture Ponds BT - Proceedings of the 2025 International Conference on Advanced Research in Electronics and Communication Systems (ICARECS-2025) PB - Atlantis Press SP - 288 EP - 297 SN - 2589-4943 UR - https://doi.org/10.2991/978-94-6463-754-0_26 DO - 10.2991/978-94-6463-754-0_26 ID - Muthukumar2025 ER -