Precision Livestock Farming for Dairy Cows

Precision livestock farming (PLF) in the dairy cattle sector is a management approach based on the continuous, or high-frequency, monitoring of individual cows and their environment through interconnected sensing technologies. These data are then processed through algorithms and decision-support tools to generate actionable information for health, welfare, reproduction, production efficiency, and environmental management. Its defining feature is the integration of (1) measurement (e.g., activity, rumination, milk yield, conductivity, temperature, body weight, microclimate), (2) data handling (cleaning, storage, integration with herd records), (3) interpretation (rule-based thresholds, time-series analytics, or machine learning), and (4) decision support (alerts, risk scores, prioritized lists, and sometimes automated actuation such as ventilation control). The core contribution of PLF is a shift from episodic, observation-driven herd management toward trajectory-based monitoring. In this model, deviations from an individual baseline and from expected physiological patterns are used to identify risk states earlier than would be possible with conventional observation. This early-warning function supports preventive veterinary medicine (e.g., earlier detection of mastitis, lameness, metabolic disorders, heat stress) and improves targeting of interventions (e.g., selective treatment, focused clinical checks), but it remains probabilistic and requires contextual interpretation. In contemporary dairy systems, PLF functions as a cyber-physical system in which animal- and barn-level biological processes are continuously represented through digital data. This allows ongoing surveillance and more consistent management decisions, provided that the system has been properly validated and integrated into farm routines.