Home⇛QCU The Star: Journal of Science, Engineering, and Information Technology⇛vol. 3 no. 1 (2025)

Precision Ulang Aquaculture: A Sustainable Approach Leveraging Atmega2560-based Automation and Data-Driven Control

Ahiedi Rose Malmo | Franklin Campomanes | Joh Lloyd Pabelico | Edben Recto | Ruzelle Soriano | Jaype Deligencia | Marco Polo Zacarias

Discipline: electrical and electronic engineering

 

Abstract:

Freshwater prawn (Macrobrachium rosenbergii, locally known as Ulang) aquaculture is a significant livelihood in the Philippines, but is often constrained by traditional methods leading to resource inefficiency and variable yields. This study addresses the need for enhanced operational efficiency and environmental stability in traditional Ulang farming by designing and quantitatively evaluating a novel, ATmega2560-based automated control system for data-driven water quality management. The ATmega2560-controlled system integrates sensors for continuous real-time monitoring of six critical water parameters (Temperature, pH, DO, Salinity, Ammonia, and Water Level). It uses actuators (pumps and coolers) to automate precise water-quality regulation. Sensor accuracy was rigorously validated over five trials against reference devices, yielding an Overall Average Accuracy of 96.66% across all parameters, confirming an 'Excellent' performance rating. Furthermore, the system maintained a 0% disease rate and achieved an 85.33% cumulative survival rate over a three-month grow-out period, which is substantially higher than reported low-survival ranges. These results establish the feasibility and reliability of accessible microcontroller technology for efficient, data-informed ulang farming, offering a scalable solution to mitigate environmental stress, improve prawn survival, and optimize operational resource use



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