Precision Ulang Aquaculture: A Sustainable Approach Leveraging Atmega2560-based Automation and Data-Driven Control
DOI:
https://doi.org/10.64807/ghxect90Abstract
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.
Keywords:
Precision aquaculture, sustainable approach, ATmega2560, automation, data-driven control, UlangReferences
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Copyright (c) 2025 Franklin Campomanes, John Lloyd Pabelico, Edben Recto, Ruzelle Soriano, Jayve Deligencia, Marco Polo Zacarias, Ahiedi Rose Malmo (Author)
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