TY  - JOUR
Y1  - 2020///
N1  - cited By 4
A1  - Boonsong, W.
A1  - Ismail, W.
A1  - Shinohara, N.
A1  - Nameh, S.M.I.S.
A1  - Alifah, S.
A1  - Kamaludin, K.H.
A1  - Anwar, T.
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-85097666004&partnerID=40&md5=1707ce3e008baa53b94ee06e2e2ff1f2
JF  - Journal of Theoretical and Applied Information Technology
VL  - 98
IS  - 22
TI  - Real-time water quality monitoring of aquaculture pond using wireless sensor network and internet of things
N2  - Data monitoring with updated information is important and necessary in todayâ??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.
SN  - 19928645
EP  - 3582
ID  - scholars12474
AV  - none
SP  - 3573
PB  - Little Lion Scientific
ER  -