Potential of using Internet of Things (IoT) for Water Quality Monitoring in aquaculture: a case study in freshwater catfish culture in Rawang, Selangor, Malaysia

Authors

  • Faisal Darus, Mohd Zaki Ayob, Hurul Asma Hassan, Izzati Syahirah Ridzuan, Mohd Raziff Abd Razak, Abd.Halim.Abd.Rahman, Izanoordina Ahmad, Haslawati Baharuddin

Abstract

Internet of Things (IoT) have significantly improved the way we deal with big data. Consequently, data mining enables us to understand patterns in data and their relationships. In this research, water quality from catfish pond has been analyzed using simple Expectation Maximization (EM) clustering. Parameters such as Total Dissolve Solid (TDS), Water Level, Turbidity, pH and Temperature have been collected via sensors connected to Raspberry Pi 3 Model B. Results analyzed using WEKA show that the minimum amount of TDS is 52 ppm and the highest is 60 ppm. The minimum value for Turbidity is 2776 NTU and maximum is 2776 NTU. Turbiditywill maintain low; hence, the existing setup is suitable for future IoT installation forfreshwater catfish, Clarias gariepinus culture.

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Published

2020-05-10

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Section

Articles