International Journal of

ADVANCED AND APPLIED SCIENCES

EISSN: 2313-3724, Print ISSN: 2313-626X

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 Volume 11, Issue 3 (March 2024), Pages: 84-91

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 Original Research Paper

IoT-based livestock tracking: Addressing challenges in Somali livestock farming

 Author(s): 

 Mohamed Omar Abdullahi *, Abdukadir Dahir Jimale, Yahye Abukar Ahmed, Abdulaziz Yasin Nageeye

 Affiliation(s):

 Faculty of Computing, SIMAD University, Mogadishu, Somalia

 Full text

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 * Corresponding Author. 

  Corresponding author's ORCID profile: https://orcid.org/0000-0001-8001-1751

 Digital Object Identifier (DOI)

 https://doi.org/10.21833/ijaas.2024.03.009

 Abstract

Livestock plays a vital role in Somalia's economy, contributing more than 60% of the country's gross domestic product. However, livestock production in Somalia faces many challenges, including conflict, insecurity, climate change and environmental degradation. These challenges can lead to livestock losses, which can significantly affect the livelihoods of livestock owners. This paper proposes an Internet of Things (IoT)-based livestock tracking system to help farmers locate their lost livestock. The system uses GPS and GSM/GPRS technology to track the location of livestock in real-time. The system also includes a boundary restriction feature that can be used to ensure that livestock remains within a designated area. The IoT-based livestock tracking system has the potential to address a number of challenges facing livestock production in Somalia. The system can help reduce livestock losses, improve livestock management practices, and increase productivity. The system is currently being field-tested in Somalia. The system successfully detects livestock crossing the border and transmits the livestock's location in real-time. Field test results show successful real-time tracking of livestock. The test data will be used to improve the system and assess its effectiveness in helping farmers locate their lost livestock.

 © 2024 The Authors. Published by IASE.

 This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

 Keywords

 IoT, livestock tracking, Arduino, GPS, Climate change, Maps

 Article history

 Received 23 August 2023, Received in revised form 8 January 2024, Accepted 13 February 2024

 Acknowledgment 

No Acknowledgment.

 Compliance with ethical standards

 Conflict of interest: The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

 Citation:

 Abdullahi MO, Jimale AD, Ahmed YA, and Nageeye AY (2024). IoT-based livestock tracking: Addressing challenges in Somali livestock farming. International Journal of Advanced and Applied Sciences, 11(3): 84-91

 Permanent Link to this page

 Figures

 Fig. 1 Fig. 2 Fig. 3 Fig. 4 

 Tables

 Table 1 Table 2 

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