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http://dx.doi.org/10.9717/kmms.2020.23.12.1519

A Study on Smart Korean Cattle Livestock Management Platform based on IoT and Machine Learning  

Park, Jun (Sunchon National University, Dept of Multimedia engineering)
Kim, Jun Yeong (Sunchon National University, Dept of Multimedia engineering)
Kim, Jeong Hoon (Sunchon National University, Dept of Multimedia engineering)
Bang, Ji Hyeon (Sunchon National University, Dept of Multimedia engineering)
Jung, Se Hoon (Andong National University, School of Creative Convergence)
Sim, Chun Bo (Sunchon National University, Dept of Multimedia engineering)
Publication Information
Journal of Korea Multimedia Society / v.23, no.12, 2020 , pp. 1519-1530 More about this Journal
Abstract
As livestock farms grow in size, the number of breeding individuals increases, making it difficult to manage livestock. Livestock farms require an integrated management system such as a monitoring system, an access control system, and an abnormal behavior detection system to manage livestock houses. In this paper, a smart korean cattle livestock management system using IoT and AI technology was proposed for livestock management in livestock farms. The smart korean cattle farm management system consists of a monitoring and control system, a vehicle access management system, and an abnormal cattle behavior detection system. It is expected that this will help manage large-scale livestock houses, and additional research is needed to improve the performance of abnormal behavior detection in the future.
Keywords
Smart Barn Management; IoT; Remote Control; AI; Realtime Monitoring;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
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