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VOL. 10, ISSUE 3 (2025)
A simulation-based framework for real-time ammonia monitoring in aquaculture using synthetic nh₄⁺ data and logic-based classification
Authors
Ofem Ajah Ofem, Okoro Osahon, Ofem Obono Iwara, Bukie Paul Tawo, Essien Ewa Essien
Abstract
Ammonia toxicity remains a critical challenge
in aquaculture, often leading to fish mortality and reduced productivity. This
study presents a simulation-based framework for real-time ammonia monitoring
using synthetic NH₄⁺ data and logic-based classification. The system simulates
sensor behavior using a low-cost ESP32 microcontroller, processes data through
embedded threshold logic, and transmits readings via Modbus TCP/IP to a custom
dashboard interface built with Tkinter. The dashboard visualizes concentration
trends and triggers alerts based on predefined thresholds. In simulated
testing, 27.4% of readings exceeded the critical threshold, highlighting the
system’s effectiveness in early detection and proactive water quality
management. For future expansion or integration with physical sensors and IoT
platforms, Node-RED offers a flexible and scalable alternative. This framework
provides an affordable and adaptable solution for smart aquaculture
applications.
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Pages:239-242
How to cite this article:
Ofem Ajah Ofem, Okoro Osahon, Ofem Obono Iwara, Bukie Paul Tawo, Essien Ewa Essien "A simulation-based framework for real-time ammonia monitoring in aquaculture using synthetic nh₄⁺ data and logic-based classification". International Journal of Advanced Scientific Research, Vol 10, Issue 3, 2025, Pages 239-242
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