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

被引:0
作者
Abdullahi, Mohamed Omar [1 ]
Jimale, Abdukadir Dahir [1 ]
Ahmed, Yahye Abukar [1 ]
Nageeye, Abdulaziz Yasin [1 ]
机构
[1] SIMAD Univ, Fac Comp, Mogadishu, Somalia
来源
INTERNATIONAL JOURNAL OF ADVANCED AND APPLIED SCIENCES | 2024年 / 11卷 / 03期
关键词
IoT; livestock tracking; Arduino; GPS; Climate change; Maps; SYSTEM;
D O I
10.21833/ijaas.2024.03.009
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
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. (c) 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/).
引用
收藏
页码:84 / 91
页数:8
相关论文
共 31 条
  • [1] Abdullahi MY, 2022, International Journal of Advanced Research, V10, P55, DOI [10.21474/IJAR01/14177, DOI 10.21474/IJAR01/14177]
  • [2] Review: Precision Livestock Farming technologies in pasture-based livestock systems
    Aquilani, C.
    Confessore, A.
    Bozzi, R.
    Sirtori, F.
    Pugliese, C.
    [J]. ANIMAL, 2022, 16 (01)
  • [3] Dahir A., 2023, Bull. Electr. Eng. Inform, V12, P69, DOI [10.11591/eei.v12i1.4117, DOI 10.11591/EEI.V12I1.4117]
  • [4] Current and Future Challenges and Opportunities for Livestock Farming in West Africa: Perspectives from the Case of Senegal
    Eeswaran, Rasu
    Nejadhashemi, A. Pouyan
    Faye, Aliou
    Min, Doohong
    Prasad, P. V. Vara
    Ciampitti, Ignacio A.
    [J]. AGRONOMY-BASEL, 2022, 12 (08):
  • [5] Ecological Doctors in Maasailand: Identifying Herding Best Practices to Improve Livestock Management and Reduce Carnivore Conflict
    Jablonski, Kevin E.
    Merishi, John
    Dolrenry, Stephanie
    Hazzah, Leela
    [J]. FRONTIERS IN SUSTAINABLE FOOD SYSTEMS, 2020, 4
  • [6] Jimale AD., 2023, SSRG Int J Electr Electron Eng, V10, P120, DOI [10.14445/23488379/IJEEE-V10I6P113, DOI 10.14445/23488379/IJEEE-V10I6P113]
  • [7] Jimale AD, 2023, International Journal of Engineering Trends and Technology, V71, P303, DOI [10.14445/22315381/IJETT-V71I6P230, DOI 10.14445/22315381/IJETT-V71I6P230]
  • [8] Kanani P, 2020, PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTING AND CONTROL SYSTEMS (ICICCS 2020), P242, DOI [10.1109/iciccs48265.2020.9121128, 10.1109/ICICCS48265.2020.9121128]
  • [9] Kewessa G., 2020, Journal of Resources Development and Management, DOI [10.7176/jrdm/67-02, DOI 10.7176/JRDM/67-02]
  • [10] Kharisma Oktaf B., 2019, Journal of Physics: Conference Series, V1363, DOI 10.1088/1742-6596/1363/1/012002