Feature Study

Evaluating the Effectiveness of Smart Sensors in Livestock Health Monitoring  

Haimei Wang
Hainan Institute of Biotechnology, Haikou, 570206, Hainan, China
Author    Correspondence author
International Journal of Molecular Zoology, 2024, Vol. 14, No. 6   doi: 10.5376/ijmz.2024.14.0031
Received: 10 Nov., 2024    Accepted: 12 Dec., 2024    Published: 22 Dec., 2024
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This is an open access article published under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Preferred citation for this article:

Wang H.M., 2024, Evaluating the effectiveness of smart sensors in livestock health monitoring, International Journal of Molecular Zoology, 14(6): 326-333 (doi: 10.5376/ijmz.2024.14.0029)

Abstract

This study explores various types of intelligent sensors used for livestock management, including biometric sensors for physiological monitoring, environmental sensors for farm level assessment, and integrated systems that combine multiple functions. The applied technologies cover disease prevention, improving animal welfare, and advancing precision livestock practices. The main advantages of using intelligent sensors include improved real-time monitoring, cost savings in livestock management, and their contribution to sustainable agriculture. A case study on the implementation of intelligent sensors in dairy farms highlights practical achievements and challenges, providing a broader impact for the industry. Looking ahead, the integration of emerging technologies such as the Internet of Things, artificial intelligence, and biosensing, coupled with collaborative frameworks and policy support, is expected to overcome current obstacles. This study aims to emphasize the transformative potential of intelligent sensors in enhancing livestock health monitoring, paving the way for more sustainable and efficient agricultural practices.

Keywords
Livestock health monitoring; Smart sensors; Precision livestock farming; Sustainable agriculture; IoT in farming
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