Monitoring feeding and resting pattern of goats in dairy farm using long-range RFID-based system

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 eff...

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Main Authors: Mohd Nordin, Abdul Rahman, Azrul Amri, Jamal, Engku Fadzli Hasan, Syed Abdullah, Badlishah, Ahmad, Kamarudin, L.M., Zakaria, A.
Format: Conference or Workshop Item
Language:English
Published: 2019
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Online Access:http://eprints.unisza.edu.my/2564/1/FH03-FIK-19-26892.pdf
http://eprints.unisza.edu.my/2564/
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spelling my-unisza-ir.25642021-02-01T02:12:33Z http://eprints.unisza.edu.my/2564/ Monitoring feeding and resting pattern of goats in dairy farm using long-range RFID-based system Mohd Nordin, Abdul Rahman Azrul Amri, Jamal Engku Fadzli Hasan, Syed Abdullah Badlishah, Ahmad Kamarudin, L.M. Zakaria, A. QA75 Electronic computers. Computer science QA76 Computer software ZA4450 Databases 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. 2019 Conference or Workshop Item NonPeerReviewed text en http://eprints.unisza.edu.my/2564/1/FH03-FIK-19-26892.pdf Mohd Nordin, Abdul Rahman and Azrul Amri, Jamal and Engku Fadzli Hasan, Syed Abdullah and Badlishah, Ahmad and Kamarudin, L.M. and Zakaria, A. (2019) Monitoring feeding and resting pattern of goats in dairy farm using long-range RFID-based system. In: 7th International Conference on Communications and Broadband Networking, ICCBN 2019, 12-15 April 2019, Nagoya Institute of TechnologyNagoya; Japan.
institution Universiti Sultan Zainal Abidin
building UNISZA Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Sultan Zainal Abidin
content_source UNISZA Institutional Repository
url_provider https://eprints.unisza.edu.my/
language English
topic QA75 Electronic computers. Computer science
QA76 Computer software
ZA4450 Databases
spellingShingle QA75 Electronic computers. Computer science
QA76 Computer software
ZA4450 Databases
Mohd Nordin, Abdul Rahman
Azrul Amri, Jamal
Engku Fadzli Hasan, Syed Abdullah
Badlishah, Ahmad
Kamarudin, L.M.
Zakaria, A.
Monitoring feeding and resting pattern of goats in dairy farm using long-range RFID-based system
description 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.
format Conference or Workshop Item
author Mohd Nordin, Abdul Rahman
Azrul Amri, Jamal
Engku Fadzli Hasan, Syed Abdullah
Badlishah, Ahmad
Kamarudin, L.M.
Zakaria, A.
author_facet Mohd Nordin, Abdul Rahman
Azrul Amri, Jamal
Engku Fadzli Hasan, Syed Abdullah
Badlishah, Ahmad
Kamarudin, L.M.
Zakaria, A.
author_sort Mohd Nordin, Abdul Rahman
title Monitoring feeding and resting pattern of goats in dairy farm using long-range RFID-based system
title_short Monitoring feeding and resting pattern of goats in dairy farm using long-range RFID-based system
title_full Monitoring feeding and resting pattern of goats in dairy farm using long-range RFID-based system
title_fullStr Monitoring feeding and resting pattern of goats in dairy farm using long-range RFID-based system
title_full_unstemmed Monitoring feeding and resting pattern of goats in dairy farm using long-range RFID-based system
title_sort monitoring feeding and resting pattern of goats in dairy farm using long-range rfid-based system
publishDate 2019
url http://eprints.unisza.edu.my/2564/1/FH03-FIK-19-26892.pdf
http://eprints.unisza.edu.my/2564/
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