An arXiv study equipped farmed rabbits with wearable accelerometers over two weeks, using machine learning to accurately classify active vs. inactive states. This tech-driven approach promises better monitoring of welfare and behavior, potentially revolutionizing rabbit management in agricultural settings.
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