Sensor Based Early Warning Indicators of Welfare Compromise in Extensively Managed Ruminant Production Systems

Abstract

The large-scale ruminant production systems, including grazing-based cattle, sheep, and goat
management, are part of global food security with major welfare issues as a result of environmental
stressors, nutritional deficiency, and other threats that are inherent in open-range management. The
conventional welfare assessment techniques of such systems are not sufficient in many cases because
of the magnitude and distance of the operations, and it is not easy to identify welfare compromise
starting in time. The proposed study hypothesizes the implementation of an early warning system
based on sensors to examine and determine the welfare compromise in high-managed ruminants by
using continuous and non-invasive data recording. The system combines behavioral, physiological,
and environmental data of wearable sensors, which can be activity, rumination, and body temperature
sensors, and GPS and environmental sensors, to get a cohesive picture of the state of health and well
being of an animal. Early deviation of the system from the baseline welfare states can be identified,
and timely interventions can be made to ensure that welfare does not deteriorate. The findings indicate
that the system has a high detection accuracy (maximum of 94.6 %) and sensitivity (92.8 %) to the
early indicators that include reduced grazing, abnormal activity, and an increased body temperature,
with a lead time ranging from 12 to 48 hours prior to the onset of visible symptoms. The research
paper has pointed out the resilience of the system in a wide range of environments, especially during
heat stress and resource-constrained settings. This system can provide a viable, scalable solution to
enhance the welfare management and sustainability of large ruminant systems by coupling large-scale
environmental adaptation with welfare surveillance. The next step in future activity will be to perfect
sensor fusion methods, develop greater ecological integration, and research policy frameworks to
allow greater implementation of sensor-based welfare monitoring to facilitate sustainable ruminant
management and climate resilience.