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Monitoring Feeding and Resting Pattern of Goats in Dairy Farm using Long-range RFID-based system

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Published:12 April 2019Publication History

ABSTRACT

Real-time state of health of the livestock allows early diseases detection and interventions that will help avoid losses due to contagious diseases. This paper aims to describe the design and deployment of a long-range multiple-input Radio Frequency Identification (RFID) monitoring system that efficiently monitor real-time goat feeding and resting behaviour in the dairy farm by periodically collect the strength of the radio signal. The integrated system comprises of a passive RFID tag attached to the animal ear that communicates with UHF-based 4-port antenna RFID reader connected through radio frequency. The RFID reader is connected to a Raspberry-Pi3 that is used to process the received information from each tag and simultaneously transmit the data to the cloud server for analysis, visualization, and management. An interactive visualization via the website was then developed to continuously monitor the goat behaviour that helps early detection of diseases that can be detected through feeding behaviour. Results from this study show that the Received Signal Strength (RSSI) increased by 10dBm when the goat/tag closed (<1 metre) to the antenna. The result indicates that the deployed system able to successfully detect and monitor the feeding and resting behaviour of a dairy goat through the measurement of RSSI by each tag, as detected by the UHF-based 4-port antenna RFID reader.

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      • Published in

        cover image ACM Other conferences
        ICCBN '19: Proceedings of the 7th International Conference on Communications and Broadband Networking
        April 2019
        76 pages
        ISBN:9781450362474
        DOI:10.1145/3330180

        Copyright © 2019 ACM

        © 2019 Association for Computing Machinery. ACM acknowledges that this contribution was authored or co-authored by an employee, contractor or affiliate of a national government. As such, the Government retains a nonexclusive, royalty-free right to publish or reproduce this article, or to allow others to do so, for Government purposes only.

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        Publication History

        • Published: 12 April 2019

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