Skip to main content

SmartCamelHealth: An Innovative System for Real-Time Camel Health Monitoring

  • Conference paper
  • First Online:
Advances on Broad-Band Wireless Computing, Communication and Applications (BWCCA 2024)

Abstract

This paper describes the development and deployment of an advanced camel health monitoring system that makes use of temperature sensors, Bluetooth Low Energy (BLE) tags, and Raspberry Pi hardware combined with Node-RED software. This technology greatly improves camel management methods by providing accurate camel identification, tracking, and real-time health data collection. The BLE tags provide a non-invasive and comfortable method for continuous tracking, addressing visibility and tag loss issues commonly associated with RFID tags. The system’s architecture, centered around the Raspberry Pi, ensures reliable data processing and transmission, while Node-RED facilitates efficient data visualization on a dashboard. This dashboard allows stakeholders to assess camel health status based on critical metrics such as body temperature and activity levels. It is shown how well the system works to enhance herd management and guarantee camel welfare by making proactive decisions. By offering a scalable, economical, and dependable solution that tackles issues with wireless connectivity, battery life, and data transfer processes, the research enriches the field of animal health management.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

References

  1. Pereira, E., et al.: RFID technology for animal tracking: a survey. IEEE J. Radio Freq. Identif. 7, 609–620 (2023)

    Article  Google Scholar 

  2. Anu, M., Canessane, R.A.: Livestock monitoring using RFID with R+tree indexing.ResearchGate (2017). https://www.researchgate.net/publication/316277672_Livestock_monitoring_using_RFID_with_R_tree_indexing

  3. Nkwari, P.K.M., Rimer, S., Paul, B.S.: Cattle monitoring system using wireless sensor network to prevent cattle rustling. In: 2014 IST-Africa Conference Proceedings, pp. 1–10. IEEE (2014)

    Google Scholar 

  4. Aswini, D., Santhya, S., Nandheni, T.S., Sukirthini, N.: Cattle health and environment monitoring system. Int. Res. J. Eng. Technol. 4(3), 1899–1903 (2017)

    Google Scholar 

  5. Mar, C.C., Zin, T.T., Tin, P., Honkawa, K., Kobayashi, I., Horii, Y.: Cow detection and tracking system utilizing multi-feature tracking algorithm. Sci. Rep. 13(1), 17423 (2023)

    Article  Google Scholar 

  6. Floyd, R.E.: RFID in animal-tracking applications. IEEE Potentials 34(5), 32–33 (2015)

    Article  Google Scholar 

  7. Jain, P., Chandra, S.: An IoT based smart animal health monitoring system. Int. J. Adv. Comput. Sci. Appl. 9(6), 120–126 (2018). https://doi.org/10.14569/IJACSA.2018.090612

    Article  Google Scholar 

  8. Khan, M.A., Aalsalem, M.Y.: A review on animal monitoring system using WSN and IoT. Int. J. Adv. Comput. Sci. Appl. 8(6), 421–436 (2017). https://doi.org/10.14569/IJACSA.2017.080660

    Article  Google Scholar 

  9. Arshad, J., et al.: Deployment of wireless sensor network and IoT platform to implement an intelligent animal monitoring system. Sustainability 14(10), 6249 (2022). https://doi.org/10.3390/su14106249

    Article  Google Scholar 

  10. Heiphetz, A.: The Building Blocks of BLE Asset Tracking: A Comprehensive Guide. https://small-business-inventory-management.com/blog/iot-and-ble/ble-asset-tracking-system-components.htm (n.d.).

  11. Mhatre, V., Vispute, V., Mishra, N., Khandagle, K.: IoT based health monitoring system for dairy cows. In: 2020 Third International Conference on Smart Systems and Inventive Technology (ICSSIT). pp. 820–825. IEEE (2020

    Google Scholar 

  12. Taneja, M., Rai, S.: A survey of wearable technology: present scenario and future challenges. Int. J. Comput. Appl. 163(4), 1–8 (2017). https://doi.org/10.5120/ijca2017910632

    Article  Google Scholar 

  13. Sharma, R., Sharma, S.: IoT based health monitoring system for dairy cows. Int. J. Adv. Comput. Sci. Appl. 11(5), 225–230 (2020). https://doi.org/10.14569/IJACSA.2020.0110520

    Article  Google Scholar 

  14. Patel, P., Patel, D.: A survey on IoT-based animal monitoring systems. Int. J. Comput. Appl. 145(11), 22–26 (2016). https://doi.org/10.5120/ijca2016913676

    Article  Google Scholar 

  15. Raj, V., Sivaraman, V.: A survey of wireless sensor networks for animal tracking. Int. J. Distrib. Sens. Netw. 13(5), 1–19 (2017). https://doi.org/10.1177/1550147717716748

    Article  Google Scholar 

  16. Chen, M., Gonzalez, S., Vasilakos, A., Cao, H., Leung, V.C.M.: Body sensor networks: a survey. Mobile Netw. Appl. 16(2), 171–193 (2011). https://doi.org/10.1007/s11036-010-0219-2

    Article  Google Scholar 

  17. Li, Y., Wang, X.: Real-time monitoring of livestock using wireless sensor networks. IEEE Sens. J. 19(15), 6349–6356 (2019). https://doi.org/10.1109/JSEN.2019.2911538

    Article  Google Scholar 

Download references

Acknowledgement

This work was supported by the Applied Research Student Fellowship Program, Higher Colleges of Technology, UAE [Grant number 113502, 2024], and the Fujairah Research Center (FRC). We extend our deepest gratitude to Dr. Fouad Lamghari, Mr. Simon Zerisenay and Mr. Alexander Negusse from FRC for their invaluable support and guidance throughout this project.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Zahoor Ali Khan .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2025 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Khan, Z.A., Tekeste, Y., Ghebremeskel, N., Kidanemariam, N. (2025). SmartCamelHealth: An Innovative System for Real-Time Camel Health Monitoring. In: Barolli, L. (eds) Advances on Broad-Band Wireless Computing, Communication and Applications. BWCCA 2024. Lecture Notes on Data Engineering and Communications Technologies, vol 231. Springer, Cham. https://doi.org/10.1007/978-3-031-76452-3_23

Download citation

  • DOI: https://doi.org/10.1007/978-3-031-76452-3_23

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-76451-6

  • Online ISBN: 978-3-031-76452-3

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics