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The research delves into the incorporation of Internet of Things (IoT) technologies into livestock management practices, with the objective of enhancing monitoring, health assessment, and overall agricultural efficiency.By deploying IoT devices, including health sensors and location-tracking systems, on livestock, the study employs advanced technologies to gather comprehensive data on health parameters, location, and behavior.Rigorous analysis of the collected data, utilizing specific algorithms and models, allows for a nuanced understanding of the impact of IoT on livestock management.Key findings from the research emphasize the transformative potential of IoT-enabled livestock management.Real-time health monitoring facilitates early disease detection, and precise tracking of livestock locations contributes to a more proactive and efficient approach to animal care.These findings underscore the tangible benefits that IoT technologies bring to conventional livestock management practices.The implications of the research extend beyond technological advancements, offering significant contributions to both the academic and practical domains.The study's results indicate that the integration of IoT in livestock management has the potential to revolutionize agricultural practices.By optimizing resource utilization, improving animal health outcomes, and providing real-time insights, IoT-enabled livestock management emerges as a promising avenue for sustainable and efficient farming practices.
Sreeparvathi et al. (Sat,) studied this question.