TY  - JOUR
T1  - Development of Water Quality Monitoring for Smart Aquaculture System
AU - Saad Hamid, Mohd AU - Amirul Abd Wahab, Muhammad AU - Abdullah, Rasyidah AU - Fakhar Bin Abd Gani, Shamsul AU - Affendi Hamzah, Rostam 
JO  - Journal of Engineering and Applied Sciences
VL  - 14
IS  - 9
SP  - 2840
EP  - 2847
PY  - 2019
DA  - 2001/08/19
SN  - 1816-949x
DO  - jeasci.2019.2840.2847
UR  - https://makhillpublications.co/view-article.php?doi=jeasci.2019.2840.2847
KW  - Monitoring system
KW  -water quality
KW  -sensor
KW  -aquaculture
KW  -temperature
KW  -pH
KW  -Raspberry Pi
AB  - Water quality monitoring for smart aquaculture system is a device that helps to describe the water
quality parameter such as pH, turbidity and temperature of the water. It will monitor the process of sampling
and analysing the water condition. This project is focused on local aquaculture species. Water quality
monitoring for smart aquaculture system is designed to allow fish farmers to monitor and control their fish in
the pond much more easily than before. It will help fish farmers to understand more about the water quality
parameter that needed for their fish. It is equipped with an early warning detection that can help fish farmers
monitoring their pond. The data collected will be transmitted to the cloud server and user will get notifications
regarding the condition of their pond by using push notification services to their smartphone. This can enhance
the productivity of the fish pond because user can always monitor the level of water quality that suitable with
the fish. This study proposed a monitoring system with the ability to measure temperature, pH, turbidity and
water level. The ability of the system to provide information and notification proven when the system sent a
notification from Raspberry Pi board to smartphone where the pH level of the water beyond the allowable range.
User also, able to control water pump to control the water over wireless connection using Blynk platform.
Finally, the system successfully embedded new technology to help to revolutionize the aquaculture industry
with the help of internet of things technology.
ER  - 