Abstract
The study presented a prototype design for “Automated Water Quality Monitoring and Control for Milkfish Pond” in Rock Fin Fish Farm. It aimed to develop a prototype for monitoring quality of water for enhancing the productivity of milkfish, which is one of the main sources of protein consumed by Filipinos. The system can detect threshold values (pH, Dissolved Oxygen, Temperature, Ammonia, and turbidity level), which are some basic parameters needed in monitoring the health of water for fish pond. Additionally, the prototype was designed to control/maintain optimum values of each measured parameters. Since drastic changes or intolerable amount of such measured parameters may cause fish kills or low growth rate, which can lead to loss of income. Laboratory test was compared to measured values from sensors. It was found out that there is no significant difference between laboratory results and prototype sensors’ results, which mean that the prototype design is reliable and accurate with percent error of less than 5% in three measurable acquired data.
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Garcia, S.M.P., Santos, C.L.B., Briones, K.M.E., Reyes, S.M.L., Macasaet, M.A.G., Pula, R. (2020). Automated Water Quality Monitoring and Control for Milkfish Pond. In: Beltran Jr., A., Lontoc, Z., Conde, B., Serfa Juan, R., Dizon, J. (eds) World Congress on Engineering and Technology; Innovation and its Sustainability 2018. WCETIS 2018. EAI/Springer Innovations in Communication and Computing. Springer, Cham. https://doi.org/10.1007/978-3-030-20904-9_10
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DOI: https://doi.org/10.1007/978-3-030-20904-9_10
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