The Future Implication of Web-based Iot System for Livestock Monitoring and Management

Sani Luqman Tenimu; Ibrahim Abdul Sa’ad; Folake Oluwatoyin Adegoke

doi:doi:10.11648/j.ajeit.20250902.15

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The Future Implication of Web-based Iot System for Livestock Monitoring and Management

Sani Luqman Tenimu

, Ibrahim Abdul Sa’ad

, Folake Oluwatoyin Adegoke^*

Published in American Journal of Education and Information Technology (Volume 9, Issue 2)

Received: 20 May 2025 Accepted: 1 July 2025 Published: 14 October 2025

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Abstract

In some regions in Nigeria, where agriculture, particularly cattle farming drives economic growth, farmers face challenges in effectively monitoring and managing livestock due to limited access to technology and veterinary resources. Manual methods of assessing cattle health coupled with a shortage of veterinarians in rural areas, result in delayed illness detection and reduced productivity. Progress is yet to be made with the use of IoT in smart animal ``monitoring by enabling automated operation with minimum human intervention, in Nigeria. In this work, we designed and implement a flexible IoT-based sensors for remote monitoring of farm animals and continuous data collection from the IoT devices (sensors). The information collected were used for monitoring the health of the animals. The framework used IoT-empowered sensors, an incorporated information base, and an easy to use web point of interaction to follow key boundaries, for example, temperature, moistness, pulse, and area of domesticated animals. This approach decreases the dependence on manual perceptions, subsequently further developing exactness and taking into account ideal mediations. The framework was tried on a fair sized animal’s ranch, exhibiting huge upgrades in domesticated animals wellbeing the board, decreased work costs, and improved dynamic capacities for ranchers. Key difficulties, including availability issues, information security, and framework versatility, were discussed, alongside potential future improvements including artificial intelligence and AI. The discoveries recommend that the proposed framework could altogether add to economical agrarian practices, especially in remote and limited scope cultivating activities.

Published in	American Journal of Education and Information Technology (Volume 9, Issue 2)
DOI	10.11648/j.ajeit.20250902.15
Page(s)	111-116
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2025. Published by Science Publishing Group

Keywords

IoT, Livestock Farming, Satellite, Technology, Environment, Management, Animal, Health

References

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[2]	Yaseer, A., & Chen, H. (2021). A review of sensors and machine learning in animal farming. 2021 IEEE 11th Annual International Conference on CYBER Technology in Automation, Control, and Intelligent Systems (CYBER), Jiaxing, China, 747-752. https://doi.org/10.1109/CYBER53097.2021.9588295
[3]	Feng, Y., Zhang, M., Cai, X., Qiao, Y., Sun, Z., Li, X., & Liu, W. (2022). Social Cattle: IoT-based mastitis detection and control through social cattle behavior sensing in smart farms. IEEE Internet of Things Journal, 9(12), 10130-10138. https://doi.org/10.1109/JIOT.2021.3122341
[4]	Valov, N., Mladenova, T., & Valova, I. (2021). IoT and big data in animal farming. 2021 5th International Symposium on Multi disciplinary Studies and Innovative Technologies (ISMSIT), Ankara, Turkey, 93-96. https://doi.org/10.1109/ISMSIT52890.2021.9604671
[5]	Wu, B., Li, J., Liu, Q., & Du, K.-L. (2023). An RFID-assisted smart livestock and poultry farming system on the cloud. 2023 15^th International Conference on Computer and Automation Engineering (ICCAE), Sydney, Australia, 120-124. https://doi.org/10.1109/ICCAE56788.2023.1011120
[6]	Eswaran, M., Devi, C. J., Renukadevi, B., Rayavel, P., & Varniha, B. (2021). The essential technique for farm controlling using cloud-based wireless communication IoT system. 2021 4th International Conference on Computing and Communications Technologies (ICCCT), Chennai, India, 230-235. https://doi.org/10.1109/ICCCT53315.2021.9711856
[7]	Nautiyal, D., Sharma, V., Dangi, S., & Sharma, S. (2024). Applications of technology-assisted ultrasonic repellers in current era of Indian agriculture. 2024 2nd International Conference on Computer, Communication and Control (IC4), Indore, India, 1-6. https://doi.org/10.1109/IC457434.2024.10486
[8]	Başçiftçi, F., & Gündüz, K. A. (2019). Identification of acidosis disease in cattle using IoT. 2019 4th International Conference on Computer Science and Engineering (UBMK), Samsun, Turkey, 58-62. https://doi.org/10.1109/UBMK.2019.8907035
[9]	Bhuiyan, M. R., & Wree, P. (2023). Animal behavior for chicken identification and monitoring the health condition using computer vision: A systematic review. IEEE Access, 11, 126601-126610. https://doi.org/10.1109/ACCESS.2023.3331092
[10]	Qi, J., Yang, P. Min, G. Amft, O. Dong, F. Xu, L (2017). Advance Internet of things for personalized healthcare systems: A surveypervasive and Mobile computing 41: 132-149 https://doi.org/10.1016/j.pmcj.2017.06.018
[11]	Shaikh, Y., Parvati, V. K. &Biradar, S. R. (2018). Survey of smart healthcare system using Internet of things (IoT): In 2018 International conference on communication, computing and Internet of things (IC3IoT) PP. 508-513.
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APA Style

Tenimu, S. L., Sa’ad, I. A., Adegoke, F. O. (2025). The Future Implication of Web-based Iot System for Livestock Monitoring and Management. American Journal of Education and Information Technology, 9(2), 111-116. https://doi.org/10.11648/j.ajeit.20250902.15

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ACS Style

Tenimu, S. L.; Sa’ad, I. A.; Adegoke, F. O. The Future Implication of Web-based Iot System for Livestock Monitoring and Management. Am. J. Educ. Inf. Technol. 2025, 9(2), 111-116. doi: 10.11648/j.ajeit.20250902.15

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AMA Style

Tenimu SL, Sa’ad IA, Adegoke FO. The Future Implication of Web-based Iot System for Livestock Monitoring and Management. Am J Educ Inf Technol. 2025;9(2):111-116. doi: 10.11648/j.ajeit.20250902.15

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@article{10.11648/j.ajeit.20250902.15,
  author = {Sani Luqman Tenimu and Ibrahim Abdul Sa’ad and Folake Oluwatoyin Adegoke},
  title = {The Future Implication of Web-based Iot System for Livestock Monitoring and Management
},
  journal = {American Journal of Education and Information Technology},
  volume = {9},
  number = {2},
  pages = {111-116},
  doi = {10.11648/j.ajeit.20250902.15},
  url = {https://doi.org/10.11648/j.ajeit.20250902.15},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajeit.20250902.15},
  abstract = {In some regions in Nigeria, where agriculture, particularly cattle farming drives economic growth, farmers face challenges in effectively monitoring and managing livestock due to limited access to technology and veterinary resources. Manual methods of assessing cattle health coupled with a shortage of veterinarians in rural areas, result in delayed illness detection and reduced productivity. Progress is yet to be made with the use of IoT in smart animal ``monitoring by enabling automated operation with minimum human intervention, in Nigeria. In this work, we designed and implement a flexible IoT-based sensors for remote monitoring of farm animals and continuous data collection from the IoT devices (sensors). The information collected were used for monitoring the health of the animals. The framework used IoT-empowered sensors, an incorporated information base, and an easy to use web point of interaction to follow key boundaries, for example, temperature, moistness, pulse, and area of domesticated animals. This approach decreases the dependence on manual perceptions, subsequently further developing exactness and taking into account ideal mediations. The framework was tried on a fair sized animal’s ranch, exhibiting huge upgrades in domesticated animals wellbeing the board, decreased work costs, and improved dynamic capacities for ranchers. Key difficulties, including availability issues, information security, and framework versatility, were discussed, alongside potential future improvements including artificial intelligence and AI. The discoveries recommend that the proposed framework could altogether add to economical agrarian practices, especially in remote and limited scope cultivating activities.},
 year = {2025}
}

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TY  - JOUR
T1  - The Future Implication of Web-based Iot System for Livestock Monitoring and Management

AU  - Sani Luqman Tenimu
AU  - Ibrahim Abdul Sa’ad
AU  - Folake Oluwatoyin Adegoke
Y1  - 2025/10/14
PY  - 2025
N1  - https://doi.org/10.11648/j.ajeit.20250902.15
DO  - 10.11648/j.ajeit.20250902.15
T2  - American Journal of Education and Information Technology
JF  - American Journal of Education and Information Technology
JO  - American Journal of Education and Information Technology
SP  - 111
EP  - 116
PB  - Science Publishing Group
SN  - 2994-712X
UR  - https://doi.org/10.11648/j.ajeit.20250902.15
AB  - In some regions in Nigeria, where agriculture, particularly cattle farming drives economic growth, farmers face challenges in effectively monitoring and managing livestock due to limited access to technology and veterinary resources. Manual methods of assessing cattle health coupled with a shortage of veterinarians in rural areas, result in delayed illness detection and reduced productivity. Progress is yet to be made with the use of IoT in smart animal ``monitoring by enabling automated operation with minimum human intervention, in Nigeria. In this work, we designed and implement a flexible IoT-based sensors for remote monitoring of farm animals and continuous data collection from the IoT devices (sensors). The information collected were used for monitoring the health of the animals. The framework used IoT-empowered sensors, an incorporated information base, and an easy to use web point of interaction to follow key boundaries, for example, temperature, moistness, pulse, and area of domesticated animals. This approach decreases the dependence on manual perceptions, subsequently further developing exactness and taking into account ideal mediations. The framework was tried on a fair sized animal’s ranch, exhibiting huge upgrades in domesticated animals wellbeing the board, decreased work costs, and improved dynamic capacities for ranchers. Key difficulties, including availability issues, information security, and framework versatility, were discussed, alongside potential future improvements including artificial intelligence and AI. The discoveries recommend that the proposed framework could altogether add to economical agrarian practices, especially in remote and limited scope cultivating activities.
VL  - 9
IS  - 2
ER  -

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Author Information

Sani Luqman Tenimu

Computer Department, Kogi State College of Education, Ankpa, Nigeria

Contact Email

http://orcid.org/0009-0007-6154-3817
Ibrahim Abdul Sa’ad

Centre for Nigeria Atmospheric Reseach, Anyigba, Nigeria

Contact Email

http://orcid.org/0009-0005-8899-148X
Folake Oluwatoyin Adegoke

Department of Computer Science, Prince Abubakar Audu University, Anyigba, Nigeria

Contact Email

http://orcid.org/0009-0006-4159-1064

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Plain Text BibTeX RIS

APA Style

Tenimu, S. L., Sa’ad, I. A., Adegoke, F. O. (2025). The Future Implication of Web-based Iot System for Livestock Monitoring and Management. American Journal of Education and Information Technology, 9(2), 111-116. https://doi.org/10.11648/j.ajeit.20250902.15

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ACS Style

Tenimu, S. L.; Sa’ad, I. A.; Adegoke, F. O. The Future Implication of Web-based Iot System for Livestock Monitoring and Management. Am. J. Educ. Inf. Technol. 2025, 9(2), 111-116. doi: 10.11648/j.ajeit.20250902.15

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AMA Style

Tenimu SL, Sa’ad IA, Adegoke FO. The Future Implication of Web-based Iot System for Livestock Monitoring and Management. Am J Educ Inf Technol. 2025;9(2):111-116. doi: 10.11648/j.ajeit.20250902.15

Copy | Download

@article{10.11648/j.ajeit.20250902.15,
  author = {Sani Luqman Tenimu and Ibrahim Abdul Sa’ad and Folake Oluwatoyin Adegoke},
  title = {The Future Implication of Web-based Iot System for Livestock Monitoring and Management
},
  journal = {American Journal of Education and Information Technology},
  volume = {9},
  number = {2},
  pages = {111-116},
  doi = {10.11648/j.ajeit.20250902.15},
  url = {https://doi.org/10.11648/j.ajeit.20250902.15},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajeit.20250902.15},
  abstract = {In some regions in Nigeria, where agriculture, particularly cattle farming drives economic growth, farmers face challenges in effectively monitoring and managing livestock due to limited access to technology and veterinary resources. Manual methods of assessing cattle health coupled with a shortage of veterinarians in rural areas, result in delayed illness detection and reduced productivity. Progress is yet to be made with the use of IoT in smart animal ``monitoring by enabling automated operation with minimum human intervention, in Nigeria. In this work, we designed and implement a flexible IoT-based sensors for remote monitoring of farm animals and continuous data collection from the IoT devices (sensors). The information collected were used for monitoring the health of the animals. The framework used IoT-empowered sensors, an incorporated information base, and an easy to use web point of interaction to follow key boundaries, for example, temperature, moistness, pulse, and area of domesticated animals. This approach decreases the dependence on manual perceptions, subsequently further developing exactness and taking into account ideal mediations. The framework was tried on a fair sized animal’s ranch, exhibiting huge upgrades in domesticated animals wellbeing the board, decreased work costs, and improved dynamic capacities for ranchers. Key difficulties, including availability issues, information security, and framework versatility, were discussed, alongside potential future improvements including artificial intelligence and AI. The discoveries recommend that the proposed framework could altogether add to economical agrarian practices, especially in remote and limited scope cultivating activities.},
 year = {2025}
}

Copy | Download

TY  - JOUR
T1  - The Future Implication of Web-based Iot System for Livestock Monitoring and Management

AU  - Sani Luqman Tenimu
AU  - Ibrahim Abdul Sa’ad
AU  - Folake Oluwatoyin Adegoke
Y1  - 2025/10/14
PY  - 2025
N1  - https://doi.org/10.11648/j.ajeit.20250902.15
DO  - 10.11648/j.ajeit.20250902.15
T2  - American Journal of Education and Information Technology
JF  - American Journal of Education and Information Technology
JO  - American Journal of Education and Information Technology
SP  - 111
EP  - 116
PB  - Science Publishing Group
SN  - 2994-712X
UR  - https://doi.org/10.11648/j.ajeit.20250902.15
AB  - In some regions in Nigeria, where agriculture, particularly cattle farming drives economic growth, farmers face challenges in effectively monitoring and managing livestock due to limited access to technology and veterinary resources. Manual methods of assessing cattle health coupled with a shortage of veterinarians in rural areas, result in delayed illness detection and reduced productivity. Progress is yet to be made with the use of IoT in smart animal ``monitoring by enabling automated operation with minimum human intervention, in Nigeria. In this work, we designed and implement a flexible IoT-based sensors for remote monitoring of farm animals and continuous data collection from the IoT devices (sensors). The information collected were used for monitoring the health of the animals. The framework used IoT-empowered sensors, an incorporated information base, and an easy to use web point of interaction to follow key boundaries, for example, temperature, moistness, pulse, and area of domesticated animals. This approach decreases the dependence on manual perceptions, subsequently further developing exactness and taking into account ideal mediations. The framework was tried on a fair sized animal’s ranch, exhibiting huge upgrades in domesticated animals wellbeing the board, decreased work costs, and improved dynamic capacities for ranchers. Key difficulties, including availability issues, information security, and framework versatility, were discussed, alongside potential future improvements including artificial intelligence and AI. The discoveries recommend that the proposed framework could altogether add to economical agrarian practices, especially in remote and limited scope cultivating activities.
VL  - 9
IS  - 2
ER  -

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