Fish Farms Get Wired
Published on by Water Network Research, Official research team of The Water Network in Business
South Korean Communications Provider SK Telecom Will Implement an Internet of Things-based Fish Farm Management System at an Eel Farm in Gochang
SK Telecom, together with BD Inc., is developing the management system which will improve the current farm management process with the help of IoT technologies based on wireless sensor networks and enable farmers to remotely monitor their fish tanks in real-time through smart devices including smartphone.
In general, each eel farm has twenty to sixty water tanks, each measuring 6m in diameter. Eel farming is a high value-added business, but the farming requires farmers to arrange human resources to manually observe several indicators of each tank all the time including water temperature, dissolved oxygen and pH (every two hours and six hours for the young fish and grown ones respectively) as even minor changes in the environment such as a sudden temperature change, oxygen deficiency or water pollution are fatal to eels.
Under the IoT-based fish farm management system, three sensors are installed on each fish tank to measure water temperature, quality and oxygen level. Then, a water quality monitoring equipment will digitize and display the data from the sensors and send them to ‘SUN (Smart Utility Network)', a new near field communications technology, so that Gateway can collect and transmit them using LTE networks to Mobius, an open ‘IoT' platform of SK Telecom. Mobius will then send the data again to a fish tank management server for analysis and finally the users can check the tank status on the smartphones.
The data flow through IoT Gateway to SK Telecom's open IoT platform which will then analyze the data and send status check results to the farmers' smartphones in real-time.
If any abnormality is found, even in the middle of the night, the management system sends alarm messages to the farmers on their smartphones so that they can swiftly respond, thereby ensuring stable and efficient farm management.
In addition, when the user inputs data such as the volume of feed or shipment, the system makes analysis of the data to provide meaningful statistics and comprehensive information on the fish growth.
Providing the real-time monitoring feature and optimal information on fish farming, the management system is expected to enhance productivity of farming business while bringing revolutionary change to the farm management process by enabling farmers to manage risk factors simply with their smartphones.
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