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Abstract To address the challenges of quantifying individual physical activity, delayed detection of health anomalies in high-density environments, and the lack of objective data supporting welfare-oriented farming in large-scale floor-rearing poultry farms, this paper proposes and implements an Internet of Things-based system for individual poultry behavior monitoring and digital management.
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