eprintid: 12474
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/01/24/74
datestamp: 2023-11-10 03:27:01
lastmod: 2023-11-10 03:27:01
status_changed: 2023-11-10 01:48:50
type: article
metadata_visibility: show
creators_name: Boonsong, W.
creators_name: Ismail, W.
creators_name: Shinohara, N.
creators_name: Nameh, S.M.I.S.
creators_name: Alifah, S.
creators_name: Kamaludin, K.H.
creators_name: Anwar, T.
title: Real-time water quality monitoring of aquaculture pond using wireless sensor network and internet of things
ispublished: pub
note: cited By 4
abstract: Data monitoring with updated information is important and necessary in today�s era of digital technology. This study proposes a smart water quality monitoring (SWQM) system of aquaculture ponds that uses a Wireless Sensor Network (WSN) at a radio frequency band of 900 MHz in an Internet of Things (IoT) platform. The proposed system provides solution in the monitoring and death prevention of aquatic animals in culture ponds. The important parameters studied in this research are temperature, dissolved oxygen in water and potential Hydrogen (pH) values. The information monitored using the proposed SWQM device is transmitted to an operator through a cloud Internet platform via the router gateway. The operator can utilize the tracked information data on a smart device to achieve real-time monitoring. The data are analyzed and further evaluated on the basis of the results of water conditions. This implementation emphasizes the improvement of the agriculture process for the benefit of economic development at the community, society and national levels. © 2020 Little Lion Scientific. All rights reserved.
date: 2020
publisher: Little Lion Scientific
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85097666004&partnerID=40&md5=1707ce3e008baa53b94ee06e2e2ff1f2
full_text_status: none
publication: Journal of Theoretical and Applied Information Technology
volume: 98
number: 22
pagerange: 3573-3582
refereed: TRUE
issn: 19928645
citation:   Boonsong, W. and Ismail, W. and Shinohara, N. and Nameh, S.M.I.S. and Alifah, S. and Kamaludin, K.H. and Anwar, T.  (2020) Real-time water quality monitoring of aquaculture pond using wireless sensor network and internet of things.  Journal of Theoretical and Applied Information Technology, 98 (22).  pp. 3573-3582.  ISSN 19928645