Selective of IoT applications for water quality monitoring in Malaysia

Zainuddin, Ahmad Anwar and Amir Hussin, Amir 'Aatieff and Annas, Ammar Haziq and Bharudin, Mohamad Syafiq Asyraf and Abdul Rajat @ Abdul Razak, Alin Farhain and Mahazir, Muhammad Nur Badri and Ahmad Puzi, Asmarani and Handayani, Dini Oktarina Dwi and Abdul Raziff, Abdul Rafiez (2024) Selective of IoT applications for water quality monitoring in Malaysia. International Journal on Perceptive and Cognitive Computing (IJPCC), 10 (2). pp. 8-16. E-ISSN 2462-229X

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Abstract

The aquaculture industry in Malaysia relies predominantly on Recirculating Aquaculture Systems (RAS), which are susceptible to infections, leading to disease outbreaks and significant economic repercussions. The frequent need for manual interventions makes RAS labor-intensive and inefficient. To address these challenges, this study advocates a shift towards disease prevention and proactive water quality management. The proactive approach entails modern water treatment methods, stringent biosecurity measures, and the integration of IoT (Internet of Things) technology to anticipate and prevent disease outbreaks. Our disease detection system utilizes real-time sensors, machine learning algorithms, and IoT technology to swiftly identify pathogen indicators. Simultaneously, the IoT-enabled water quality monitoring system consistently delivers crucial data, eliminating the need for on-site monitoring. The adoption of disease prevention and control strategies, including probiotics, vaccinations, and biosecurity measures, plays a pivotal role in fostering sustainable advancements within the aquaculture sector. By incorporating effective water quality management, optimizing fish stocking density, ensuring proper nutrition, adhering to hygienic practices, and deploying fish vaccines, with the aim to mitigate the occurrence of fish diseases, ultimately bolstering the resilience and sustainability of Malaysia's aquaculture industry. Overall, this paper proposes a comprehensive overview of IoT-based applications for water quality monitoring in Malaysia’s aquaculture with the advancements in IoT technology and its potential impact on improving water quality management practices.

Item Type:	Article (Journal)
Uncontrolled Keywords:	Aquaculture, RAS, practices.
Subjects:	T Technology > T Technology (General) > T10.5 Communication of technical information
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Information and Communication Technology > Department of Computer Science Kulliyyah of Information and Communication Technology > Department of Computer Science Kulliyyah of Information and Communication Technology Kulliyyah of Information and Communication Technology
Depositing User:	Ts.Dr. Ahmad Anwar Zainuddin
Date Deposited:	31 Jul 2024 10:09
Last Modified:	31 Jul 2024 10:09
URI:	http://irep.iium.edu.my/id/eprint/113510

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