Sheep tracker via Radio Frequency Identification (RFID) System / Nurhazirah Mohamad Yunos, Ahmad Khudzairi Khalid and Mohamad Faizal Ab Jabal

The Fourth Industrial Revolution (IR 4.0) has significantly impacted various industries in Malaysia through the digitalization and optimization of daily operational processes, leading to heightened efficiency. It's not just the manufacturing sector that has directly experienced the transformati...

Full description

Saved in:
Bibliographic Details
Main Authors: Mohamad Yunos, Nurhazirah, Khalid, Ahmad Khudzairi, Ab Jabal, Mohamad Faizal
Format: Book Section
Language:English
Published: Faculty of Computer and Mathematical Sciences 2023
Subjects:
Online Access:https://ir.uitm.edu.my/id/eprint/94371/1/94371.pdf
https://ir.uitm.edu.my/id/eprint/94371/
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Universiti Teknologi Mara
Language: English
id my.uitm.ir.94371
record_format eprints
spelling my.uitm.ir.943712024-05-02T03:20:00Z https://ir.uitm.edu.my/id/eprint/94371/ Sheep tracker via Radio Frequency Identification (RFID) System / Nurhazirah Mohamad Yunos, Ahmad Khudzairi Khalid and Mohamad Faizal Ab Jabal Mohamad Yunos, Nurhazirah Khalid, Ahmad Khudzairi Ab Jabal, Mohamad Faizal Integer programming The Fourth Industrial Revolution (IR 4.0) has significantly impacted various industries in Malaysia through the digitalization and optimization of daily operational processes, leading to heightened efficiency. It's not just the manufacturing sector that has directly experienced the transformative impact of this revolution; even the livestock industry has been touched by its influence. Within the realm of livestock management, a primary challenge arises in the form of effectively monitoring and tracking animals, specifically sheep, while they graze in the fields. Consequently, this research aims to invent a sheep tracker by implementing Radio Frequency Identification (RFID) system to oversee the movements of each sheep in the pasture. This system involves attaching unique identification tags to every sheep, allowing for precise tracking when the sheep are in proximity to the RFID scanner. On top of that, the comparative study of the existing and proposed tracking systems used on the particular farm are presented. As a result, this innovation indirectly reduces the reliance on human labor for sheep monitoring and mitigates the risk of sheep loss. Furthermore, the implementation of RFID technology on sheep aligns with Sustainable Development Goal 9, focusing on the enhancement of industry, innovation, and infrastructure. Faculty of Computer and Mathematical Sciences 2023 Book Section NonPeerReviewed text en https://ir.uitm.edu.my/id/eprint/94371/1/94371.pdf Sheep tracker via Radio Frequency Identification (RFID) System / Nurhazirah Mohamad Yunos, Ahmad Khudzairi Khalid and Mohamad Faizal Ab Jabal. (2023) In: International Jasin Multimedia & Computer Science Invention and Innovation Exhibition (i-JaMCSIIX 2023). Faculty of Computer and Mathematical Sciences, Kampus Jasin, pp. 123-126. ISBN 978-967-15337-0-3 (Submitted)
institution Universiti Teknologi Mara
building Tun Abdul Razak Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Mara
content_source UiTM Institutional Repository
url_provider http://ir.uitm.edu.my/
language English
topic Integer programming
spellingShingle Integer programming
Mohamad Yunos, Nurhazirah
Khalid, Ahmad Khudzairi
Ab Jabal, Mohamad Faizal
Sheep tracker via Radio Frequency Identification (RFID) System / Nurhazirah Mohamad Yunos, Ahmad Khudzairi Khalid and Mohamad Faizal Ab Jabal
description The Fourth Industrial Revolution (IR 4.0) has significantly impacted various industries in Malaysia through the digitalization and optimization of daily operational processes, leading to heightened efficiency. It's not just the manufacturing sector that has directly experienced the transformative impact of this revolution; even the livestock industry has been touched by its influence. Within the realm of livestock management, a primary challenge arises in the form of effectively monitoring and tracking animals, specifically sheep, while they graze in the fields. Consequently, this research aims to invent a sheep tracker by implementing Radio Frequency Identification (RFID) system to oversee the movements of each sheep in the pasture. This system involves attaching unique identification tags to every sheep, allowing for precise tracking when the sheep are in proximity to the RFID scanner. On top of that, the comparative study of the existing and proposed tracking systems used on the particular farm are presented. As a result, this innovation indirectly reduces the reliance on human labor for sheep monitoring and mitigates the risk of sheep loss. Furthermore, the implementation of RFID technology on sheep aligns with Sustainable Development Goal 9, focusing on the enhancement of industry, innovation, and infrastructure.
format Book Section
author Mohamad Yunos, Nurhazirah
Khalid, Ahmad Khudzairi
Ab Jabal, Mohamad Faizal
author_facet Mohamad Yunos, Nurhazirah
Khalid, Ahmad Khudzairi
Ab Jabal, Mohamad Faizal
author_sort Mohamad Yunos, Nurhazirah
title Sheep tracker via Radio Frequency Identification (RFID) System / Nurhazirah Mohamad Yunos, Ahmad Khudzairi Khalid and Mohamad Faizal Ab Jabal
title_short Sheep tracker via Radio Frequency Identification (RFID) System / Nurhazirah Mohamad Yunos, Ahmad Khudzairi Khalid and Mohamad Faizal Ab Jabal
title_full Sheep tracker via Radio Frequency Identification (RFID) System / Nurhazirah Mohamad Yunos, Ahmad Khudzairi Khalid and Mohamad Faizal Ab Jabal
title_fullStr Sheep tracker via Radio Frequency Identification (RFID) System / Nurhazirah Mohamad Yunos, Ahmad Khudzairi Khalid and Mohamad Faizal Ab Jabal
title_full_unstemmed Sheep tracker via Radio Frequency Identification (RFID) System / Nurhazirah Mohamad Yunos, Ahmad Khudzairi Khalid and Mohamad Faizal Ab Jabal
title_sort sheep tracker via radio frequency identification (rfid) system / nurhazirah mohamad yunos, ahmad khudzairi khalid and mohamad faizal ab jabal
publisher Faculty of Computer and Mathematical Sciences
publishDate 2023
url https://ir.uitm.edu.my/id/eprint/94371/1/94371.pdf
https://ir.uitm.edu.my/id/eprint/94371/
_version_ 1800100600604524544