Precision livestock farming (PLF) in beef cattle refers to the integration of automated monitoring technologies, including animal-borne sensors, spatial positioning systems, and environmental sensing platforms, combined with advanced data analytics to improve production efficiency, health management, reproductive performance, animal welfare, and environmental sustainability. In contrast to dairy cattle production, where animals interact daily with milking infrastructure that provides structured and repeated physiological data capture, beef cattle are commonly managed in systems characterized by limited daily human contact, wide spatial dispersion, and strong exposure to environmental variability. Consequently, the operational philosophy of beef PLF diverges substantially from that of dairy systems. Instead of using high-frequency metabolic indicators derived from milking routines, beef PLF focuses on detecting deviations in growth trajectories, spatial routines, behavioral patterns, intake stability, and environmental tolerance thresholds. The biological priorities of beef systems are centered on the efficient conversion of feed resources into body mass, the maintenance of reproductive continuity within seasonal breeding structures, minimization of morbidity, particularly bovine respiratory disease in feedlots, and optimization of carcass characteristics at slaughter. In cow-calf systems, reproductive success and calf survival determine annual herd productivity. In grazing and backgrounding operations, weight gain efficiency and pasture utilization influence both profitability and long-term land sustainability. In feedlot finishing systems, intake regularity, stress mitigation, respiratory risk reduction, and precision harvest timing become dominant concerns. Beef PLF functions as a surveillance and decision-support architecture designed to reduce the latency between biological deviation and management intervention; it transforms episodic inspection into continuous risk assessment, enabling targeted animal inspection. When rigorously validated and integrated into routine workflow, PLF enhances livestock management by directing attention toward animals or groups that show statistically significant divergence from expected biological performance.
Lamanna, M., Polizzi, G., Bovo, M., Cavallini, D. (2026). Precision Livestock Farming for Beef Cows. Vila Real : Joao Simoes [10.1007/978-3-031-52133-1_597-1].
Precision Livestock Farming for Beef Cows
Lamanna, Martina;Polizzi, Giulia;Bovo, Marco;Cavallini, Damiano
2026
Abstract
Precision livestock farming (PLF) in beef cattle refers to the integration of automated monitoring technologies, including animal-borne sensors, spatial positioning systems, and environmental sensing platforms, combined with advanced data analytics to improve production efficiency, health management, reproductive performance, animal welfare, and environmental sustainability. In contrast to dairy cattle production, where animals interact daily with milking infrastructure that provides structured and repeated physiological data capture, beef cattle are commonly managed in systems characterized by limited daily human contact, wide spatial dispersion, and strong exposure to environmental variability. Consequently, the operational philosophy of beef PLF diverges substantially from that of dairy systems. Instead of using high-frequency metabolic indicators derived from milking routines, beef PLF focuses on detecting deviations in growth trajectories, spatial routines, behavioral patterns, intake stability, and environmental tolerance thresholds. The biological priorities of beef systems are centered on the efficient conversion of feed resources into body mass, the maintenance of reproductive continuity within seasonal breeding structures, minimization of morbidity, particularly bovine respiratory disease in feedlots, and optimization of carcass characteristics at slaughter. In cow-calf systems, reproductive success and calf survival determine annual herd productivity. In grazing and backgrounding operations, weight gain efficiency and pasture utilization influence both profitability and long-term land sustainability. In feedlot finishing systems, intake regularity, stress mitigation, respiratory risk reduction, and precision harvest timing become dominant concerns. Beef PLF functions as a surveillance and decision-support architecture designed to reduce the latency between biological deviation and management intervention; it transforms episodic inspection into continuous risk assessment, enabling targeted animal inspection. When rigorously validated and integrated into routine workflow, PLF enhances livestock management by directing attention toward animals or groups that show statistically significant divergence from expected biological performance.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.



