This article discusses real-world ai trends and case studies. As these technologies improve, their impact on animal health will continue to increase. · a technology -first approach does not replace field experience. Discover how ai automation and intelligent systems transform animal care with predictive health, optimized resources, welfare monitoring, and smarter decisions. · the integration of artificial intelligence ( ai ) in various sectors has led to significant advancements, with the animal industry being no exception. · ai has shown promise in simplifying complex processes, including the detection of health problems, the prediction of animal productivity, and the monitoring of behavior, and could potentially provide solutions to the ongoing problems in these sectors. This review aims to investigate the benefits, limitations, and future prospects of ai technology in improving animal welfare. It amplifies it. With smart sensors, humane deterrents, focused patrols, clear communication, and connected safety tools, animal control teams can reduce conflicts, protect wildlife, and give communities calmer, safer neighborhoods. From data analysis to on-ground operations , ai offers a plethora of applications that can make the challenging job of animal control more manageable and effective. · by analysing complex datasets, such tools optimise diagnostics, predict outbreaks and improve veterinary care. · integrating ai into the daily tasks of animal control officers can significantly enhance their efficiency, accuracy, and overall impact. The current issue of animal frontiers is entirely dedicated to ai applied to animal farming and animal science sheds light on how advanced algorithms and machine learning can optimize productivity, animal welfare, and sustainability.

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