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http://dx.doi.org/10.17661/jkiiect.2017.10.5.442

A Study on the Livestock Feed Measuring Sensor and Supply Management System Implementation based on the IoT  

An, Wonyoung (MITSOFT CO., LTD.)
Chang, YunHi (Dept. of Business Administration, Dankook University)
Publication Information
The Journal of Korea Institute of Information, Electronics, and Communication Technology / v.10, no.5, 2017 , pp. 442-454 More about this Journal
Abstract
As the demand for meat products has steadily increased in Korea, so the livestock industry has full grown. However, the opening of import meat products is taking a toll on the local industry. Cost reduction on livestock feed, which comprises the majority of costs involved in the industry is urgent to gain a competitive edge. As Internet of Things (IoT) technologies are being applied across a multiple of industries, so are the cases of applied Smart Farm technology for efficient production. The following research aims to utilize IoT technologies to measure, in real time, the rate of depletion of feed and remaining amount and to propose an effective automated reorder & delivery system. First, a method of utilization of ultrasonic and temperature/humidity sensors to obtain corresponding data of remaining feed in the Feedbin is proposed. In addition, a method of sending the obtained data via on-the-farm gateway to Supply Chain Management (SCM) servers is proposed. Finally, utilization of the stored data to construct an automated reorder & delivery service system is proposed. It is in the researcher's intention to contribute to and enable the local livestock industry with the application of various IoT services.
Keywords
Feedbin; IoT; Livestock Measurement Sensor; Livestock Smart Farm; SCM;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
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