| Title |
A study on the multi-sensing of complex environment for smart livestock farming and biometric information measurement method for respective livestock based on BLE |
| Authors |
김정주(Jung-Ju Kim) ; 김기원(Gi-Won Kim) ; 최재훈(Jae-Hoon Choi) ; 김기현(Ki-Hyun Kim) ; 배정현(Jung-Hyoun Bae) ; 구경완(Kyung-Wan Koo) |
| DOI |
https://doi.org/10.5370/KIEE.2023.72.12.1795 |
| Keywords |
Smart livestock farming monitoring system; Indoor positioning; BLE beacon; Computer vision; Deep learning; MQTT |
| Abstract |
Declining population and aging farmers are causing difficulties in agricultural management. In this study, we propose a system that combines BLE technologies and indoor positioning technologies for smart livestock farming to track the complex environment and the position of respective livestock. sensor data measuring the complex environment is transmitted via the MQTT protocol. BLE beacons and cameras are employed to enable real-time tracking of livestock positions and monitor the body temperature of respective livestock for prompt assessment of their health status. In particular, we develop a new algorithm, adaptive triangulation, to accurately track the location of livestock products using the BLE beacon. The developed adaptive triangulation algorithm shows 90.12 % accuracy because of the experiment, showing higher location recognition accuracy than the existing triangulation method.
The smart livestock farming system based on BLE is expected to improve productivity and reduce costs in the agricultural industry and contribute to the stable growth and development of farmers. |