UTM Chooses FAVORIOT as The IOT Platform For Water Quality Monitoring System Project

April 24th, 2017 Posted by SMARTCITY 0 thoughts on “UTM Chooses FAVORIOT as The IOT Platform For Water Quality Monitoring System Project”
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ATT’s Water Quality Monitoring System

Water quality and quantity vary from one place to another, and they are affected by ecological factors such as soil and air quality. In general, groundwater is considered more desirable for aquaculture because it has more consistent water quality than surface water and is less likely to be contaminated by pathogens of fish. Tropical fishes, for instance, are generally sensitive to poor water quality and therefore require fish farmers to have a higher level of water quality management mechanism. Ornamental fish are kept in a small confined spaces, and the buildup of nitrogenous waste requires additional care and measures to maintain a healthy stock. Regardless of the kind of water available on the species chosen, all fish depend entirely on the water to live, eat, grow and perform other bodily functions. Therefore, it is no surprise that the success of a fish-farming establishment depends greatly on its water quality management program. The focus of this research is more on monitoring the data collected and transmit wirelessly to a remote server via data packet.

Regardless of the kind of water available on the species chosen, all fish depend entirely on the water to live, eat, grow and perform other bodily functions. Therefore, it is no surprise that the success of a fish-farming establishment depends greatly on its water quality management program. The focus of this research is more on monitoring the data collected and transmit wirelessly to a remote server via data packet.

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Dr. Sharifah Hafizah

Associate Professor Dr. Sharifah Hafizah Syed Ariffin from ATT, UTM led a team of researchers on a project to build a “Water Quality Monitoring System Using Wireless Sensor Network Wifi Based for Aquaculture Farming“. The team decided to migrate their system to FAVORIOT as the chosen IoT platform. This will allow for continuous enhancement to the system by extending the projects to other project students.

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