AI-Powered IoT System for Early Detection and Monitoring of Livestock Health

Year : 2025 | Volume : 03 | Issue : 01 | Page : 1 8
    By

    V.T. Krishnaprasath,

  • Arsath Mohammed F,

  • Haribalan C,

  • Saravana KumarJ,

  • Sunoj C H,

  • Rajichellam J,

  1. Associate Professor, Department of Artificial Intelligence and Data Science, Nehru Institute of Engineering and Technology, Anna University, Coimbatore, India
  2. Student, Department of Artificial Intelligence and Data Science, Nehru Institute of Engineering and Technology, Anna University, Coimbatore, India
  3. Student, Department of Artificial Intelligence and Data Science, Nehru Institute of Engineering and Technology, Anna University, Coimbatore, India
  4. Student, Department of Artificial Intelligence and Data Science, Nehru Institute of Engineering and Technology, Anna University, Coimbatore, India
  5. Student, Department of Artificial Intelligence and Data Science, Nehru Institute of Engineering and Technology, Anna University, Coimbatore, India
  6. Assistant Professor, Department of Artificial Intelligence and Data Science, Nehru Institute of Engineering and Technology, Anna University, Coimbatore, India

Abstract

Protection of food production exists through livestock farming operations that advance economic global power. Continuous challenges to agricultural industry practices result in harmed animal health and enable disease spread as well as environmental threats to their welfare. Implementing current innovative solutions right away is necessary to solve these problems. The AI and IoT-based smart livestock health monitoring system functions as the fundamental development approach across this industry. The present integrated solution includes automatic high-tech indicator data collection that allows real-time observation which activates notifications for farmers and veterinarians. The combination of sensors provides better AI analytics and remote solution performance to instantly detect health conditions thereby enabling farmers to make better decisions. The new system raises the quality of life for livestock owners since it improves productivity levels together with environmental sustainability goals. The system demonstrates potential for higher resource efficiency because its configurable design and multi-farm scalability improve operational performance on farms. The inventive system drives livestock management methods toward superior levels and creates sustainable flexible operational systems for agricultural environments. The system enables farmers to keep their animals healthy by receiving immediate health data through real-time predictions that prevent animal-related risks.

Keywords: Livestock, health monitoring, IoT devices, Cloud System, Machine Learning, Real time analysis.

[This article belongs to International Journal of Electrical and Communication Engineering Technology ]

How to cite this article:
V.T. Krishnaprasath, Arsath Mohammed F, Haribalan C, Saravana KumarJ, Sunoj C H, Rajichellam J. AI-Powered IoT System for Early Detection and Monitoring of Livestock Health. International Journal of Electrical and Communication Engineering Technology. 2025; 03(01):1-8.
How to cite this URL:
V.T. Krishnaprasath, Arsath Mohammed F, Haribalan C, Saravana KumarJ, Sunoj C H, Rajichellam J. AI-Powered IoT System for Early Detection and Monitoring of Livestock Health. International Journal of Electrical and Communication Engineering Technology. 2025; 03(01):1-8. Available from: https://journals.stmjournals.com/ijecet/article=2025/view=202570


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Regular Issue Subscription Review Article
Volume 03
Issue 01
Received 24/12/2024
Accepted 22/02/2025
Published 07/03/2025
Publication Time 73 Days
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