Department of Veterinary Medicine, Western College of Veterinary Medicine, Saskatoon, SK S7N 5B4, Canada
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Enhancing Animal Welfare through Wearable Sensor Technology: Monitoring and Analysis of Behavioral Patterns in Livestock
Author(s): James Johnson*
This study explores the application of wearable sensor technology for enhancing animal welfare in livestock through monitoring and analysis of
behavioral patterns. Animal welfare is a critical aspect of livestock management, ensuring the well-being and health of animals. Traditional methods
of assessing animal welfare rely on subjective observations and manual monitoring, which can be time-consuming and prone to human error. The
utilization of wearable sensor technology offers a novel approach to monitor animal behavior in real-time, enabling early detection of potential
welfare issues. This research investigates various types of wearable sensors, such as accelerometers and GPS trackers, and their ability to collect
data on behavioral patterns in livestock. The collected data is analyzed using machine learning algorithms to identify abnormal behaviors and
indic.. Read More»
DOI:
10.37421/2157-7579.2023.14.183
Veterinary Science & Technology received 4472 citations as per Google Scholar report
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