COW HEALTH MONITORING SYSTEM USING IoT | IJCT Volume 13 – Issue 1 | IJCT-V13I1P13
International Journal of Computer Techniques
ISSN 2394-2231
Author
Ashwini B, Dr. G. P. Hegde, Aishwarya S Bhandari, Lipika Subhash K, N Nishmitha, Navya N Naik
Abstract
The Cow Health Monitoring System using IoT provides an efficient and reliable solution for real-time livestock health management. The system employs sensors to continuously measure vital parameters such as body temperature and heart rate. These readings are transmitted instantly through an IoT module to a cloud platform or website, enabling farmers to remotely monitor each cow’s health status. An automated alert mechanism notifies the farmer whenever abnormal or critical values are detected, allowing early diagnosis and timely intervention to prevent disease and reduce losses. In addition, the system integrates low-power sensors, microcontrollers, and wireless communication technologies to create a smart and automated health-tracking platform. By maintaining detailed health profiles for individual cows and enabling real-time data analytics, the system helps identify abnormal behavior, reducing the need for manual supervision. This scalable and cost-effective solution enhances farm productivity, supports precision livestock management, and promotes better animal welfare through proactive and data-driven decision-making.
Keywords
Internet of Things (IoT), Cow Health Monitoring, Livestock Management, Real-time Data Transmission, Temperature Sensor, Heart Rate Sensor, Cloud-based Monitoring, Wireless Sensor Network (WSN),Smart Dairy Farming, Animal Welfare, Remote Monitoring, Sustainable Agriculture.
Conclusion
The cow health monitoring system offers a reliable and efficient way to continuously track vital signs such as heart rate, body temperature, and activity levels. Using an Arduino Nano with various sensors, the system provides accurate, real-time health data for each cow. An integrated LCD display gives immediate local feedback, helping farmers quickly identify abnormalities or sudden changes in the animal’s condition. This early detection capability prevents serious health issues, reduces veterinary expenses, minimizes productivity loss, and promotes better animal welfare by ensuring cows remain healthy and stress-free, ultimately improving milk yield and quality.
By delivering continuous health data, the system enables farmers to make informed decisions about feeding schedules,breeding plans, and medical treatments. Long-term data trends help identify recurring problems and improve farm management strategies. The solution reduces the need for manual inspections, Overall, this system is an essential tool for modern dairy farming, combining real-time monitoring,data-driven decisions, and improved animal welfare to increase productivity, enhance milk quality, and promote sustainable farm practices.
References
[1].Shabani, T. Biba, and B. Çiço, “Design of a cattle-health-monitoring system using microservices and IoT devices,” Computers, vol. 11, no. 5, Art. no. 79, 2022, doi: 10.3390/computers11050079.
[2].K. Damayanthi and V. Venkatesh, “IoT-based cow health monitoring system,” in Computational Science – ICCS 2020, Lecture Notes in Computer Science, vol. 12139. Cham, Switzerland: Springer, 2021.
[3].Y. Srinivasa and P. S. Chatterjee, “CARE: IoT enabled cow health monitoring system,” in Proc. 2022 2nd Int. Conf. on Intelligent Technologies (CONIT), Hubli, India, pp. 1–6, 2022.
[4].A. Shinde, K. Taral, K. Salgaonkar, S. Salgaonkar, and S. Jha, “IoT-based cattle health monitoring system,” International Journal of Engineering Research & Technology (IJERT), vol. 5, no. 1, Special Issue, pp. 1–4, 2017, ISSN: 2278-0181.
[5].M. Tamilselvan, M. Naveenkumar, K. Periyapandi, and B. Premkumar, “Cattle health monitoring system using Arduino and IoT,” International Journal of Innovative Research in Technology (IJIRT), vol. 7, no. 11, pp. 225–230, Apr. 2021, ISSN: 2349-6002.
[6].S. D. Kuldharan, S. S. Kadake, N. K. Kamble, M. M. Bhavsar, and Honwadkar, “Cattle health monitoring system using IoT,” International Journal of Advanced Research in Science, Communication and Technology (IJARSCT), vol. 3, no. 2, pp. 450–455, 2023, doi: 10.48175/IJARSCT-8855.
[7].O. Unold, M. Nikodem, M. Piasecki, K. Szyc, H. Maciejewski, M. Bawiec, P. Dobrowolski, and M. Zdunek, “IoT-based cow health monitoring system,” in Computational Science – ICCS 2020, Lecture Notes in Computer Science, vol. 12141, pp. 344–356. Cham, Switzerland: Springer, 2020, doi: 10.1007/978-3-030-50426-7_26.
[8].M. Hassaan, “Advancements in cow health monitoring: A systematic literature review of IoT applications,” Information Dynamics and Applications, vol. 2, no. 4, pp. 199–209, 2023.
[9].D. Darvesh, N. Khande, S. Avhad, and M. Khemchandani, “IoT and AI-based smart cattle health monitoring,” Journal of Veterinary Science & Technology, vol. 14, no. 5, p. 193, Jul. 2023, doi: 10.37421/2157-7579.2023.14.193.
A. B. Bhatla, Y. B. Kikani, D. G. Joshi, and K. Patel, “Real-time health monitoring using IoT, ThingSpeak, and a mobile application,” Journal of Ethology & Animal Science, vol. 5, no. 1, Art. no. 000131, 2023, doi: 10.23880/jeasc-16000131.
How to Cite This Paper
Ashwini B, Dr. G. P. Hegde, Aishwarya S Bhandari, Lipika Subhash K, N Nishmitha, Navya N Naik (2025). COW HEALTH MONITORING SYSTEM USING IoT. International Journal of Computer Techniques, 12(6). ISSN: 2394-2231.
