@article{MAKHILLJEAS2019141217988,
    title = {New Water Quality Model using Smart Decision Maker and
Internet of Things for the Determination of Water Quality of
River Shatt Al-Arab in Iraq},
    journal = {Journal of Engineering and Applied Sciences},
    volume = {14},
    number = {12},
    pages = {4265-4270},
    year = {2019},
    issn = {1816-949x},
    doi = {jeasci.2019.4265.4270},
    url = {https://makhillpublications.co/view-article.php?issn=1816-949x&doi=jeasci.2019.4265.4270},
    author = {Ali Hadi},
    keywords = {Water quality model,smart decision maker,internet of things,water quality sensors,River Shatt Al-Arab,turbidity sensor},
    abstract = {Water pollution has become a major problem which needs to be addressed. Water quality is
monitored by going to the water bodies and collecting water samples which are then sent for testing in
laboratories. This is a time-consuming process and an ineffective method plus it&#146;s separate. In order to automate
this process, we verified the water quality remotely. This was done with the help of sensors, transceiver
modules and microcontroller Arduino Model. The system used three sensors: a pH sensor (SKU SEN0161),
turbidity sensor (SEN0244) and a temperature sensor (DS18B20). All data collected were wirelessly transmitted
to smartphones. In order to facilitate this transmission, we used the WiFi transmitter of which module was
connected to Arduino. These sensors were deployed in the water bodies which were connected to a
microcontroller. The data collected from the sensors were sent from the transmitter through the receiver to the
smartphone.}
    }