[논문]IoT 및 머신러닝 기반 스마트 한우 축사관리 플랫폼에 관한 연구

박준; 김준영; 김정훈; 방지현; 정세훈; 심춘보

doi:10.9717/kmms.2020.23.12.1519

IoT 및 머신러닝 기반 스마트 한우 축사관리 플랫폼에 관한 연구
A Study on Smart Korean Cattle Livestock Management Platform based on IoT and Machine Learning 원문보기

멀티미디어학회논문지 = Journal of Korea Multimedia Society, v.23 no.12, 2020년, pp.1519 - 1530

박준 (Sunchon National University, Dept of Multimedia engineering) , 김준영 (Sunchon National University, Dept of Multimedia engineering) , 김정훈 (Sunchon National University, Dept of Multimedia engineering) , 방지현 (Sunchon National University, Dept of Multimedia engineering) , 정세훈 (Andong National University, School of Creative Convergence) , 심춘보 (Sunchon National University, Dept of Multimedia engineering)

Abstract ▼ AI-Helper

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.

주제어

표/그림 (12)

그림 Fig. 1. Remote control of livestock houses and vehicle access management system configuration.
그림 Fig. 2. Smart ban monitoring and remote control system.
그림 Fig. 3. Vehicle access control system.
그림 Fig. 4. Diagram of stand-alone data collection and storage device.
그림 Fig. 5. Beef cattle estrus detection system.
표 Table 1. Components of the Image Labeling classes
표 Table 2. YOLOv2 network structure
표 Table 3. Components of the dataset volume
그림 Fig. 6. Smart barn monitoring & control system.
그림 Fig. 7. Vehicle access management program.
표 Table 4. Comparison with Existing Systems
그림 Fig. 8. Cow object detection result.

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