Mat Yatin, Saiful Farik and Samsudin, Ahmad Zam Hariro and Norzeri, Muhammad Nor Nabihan
(2025)
Information management monitoring system for fish cage farming.
Environment-Behaviour Proceedings Journal, 10 (SI27).
pp. 1-5.
ISSN 2398-4287
Official URL: https://ebpj.e-iph.co.uk/index.php/EBProceedings/i...
Identification Number (DOI): 10.21834/e-bpj.v10iSI27.6926
Abstract
This study investigates the integration of Internet of Things (IoT) technologies within an Information Management Monitoring System (IMMS) to improve water quality monitoring, operational efficiency, and decision-making in fish cage farming on the Semantan River, Temerloh. Employing mixed methods, the research targets 117 fish cage farmers, sampling 30 to 50 participants. The IoT-powered IMMS enables real-time monitoring and data-driven management, enhancing aquaculture resilience against environmental challenges. This approach supports sustainable seafood production by optimizing water quality and farm operations, contributing to the aquaculture industry’s adaptation and sustainability goals.
Metadata
| Item Type: | Article |
|---|---|
| Creators: | Creators Email / ID Num. Mat Yatin, Saiful Farik farik@uitm.edu.my Samsudin, Ahmad Zam Hariro ahmadzam@uitm.edu.my Norzeri, Muhammad Nor Nabihan muhammadnornabihan@gmail.com |
| Subjects: | S Agriculture > SH Aquaculture. Fisheries. Angling > Aquaculture T Technology > TD Environmental technology. Sanitary engineering > Water supply for domestic and industrial purposes > Qualities of water. Water quality |
| Divisions: | Universiti Teknologi MARA, Selangor > Puncak Perdana Campus > Faculty of Information Management |
| Journal or Publication Title: | Environment-Behaviour Proceedings Journal |
| ISSN: | 2398-4287 |
| Event Title: | The 6th International Conference of Information Science |
| Event Dates: | 27-28 January 2025 |
| Volume: | 10 |
| Number: | SI27 |
| Page Range: | pp. 1-5 |
| Keywords: | Information management, Internet of things (IoT), Monitoring systems, Decision-making |
| Date: | April 2025 |
| URI: | https://ir.uitm.edu.my/id/eprint/143501 |
