Validation and integration of multi-modal welfare indicators combining sensor technology and physiological biomarkers for early detection of welfare compromise in dairy systems.

Interested in joining a consortium under Topic 1 (Animal Welfare) focused on innovative welfare monitoring technologies in dairy cattle.

Expertise includes integration of behavioral sensor data (rumination, activity) with physiological and blood-based biomarkers for early detection of welfare compromise, including heat stress and metabolic challenges. Strong experience in field validation on commercial farms and development of data-driven decision-support tools.

Seeking collaboration with partners in animal welfare science, data/AI modeling, transport welfare, socio-economic assessment, and technology development.

The organisation is a higher education and research institution with strong expertise in dairy cattle health, welfare, and precision livestock farming. Research activities focus on integrating sensor-based behavioral monitoring technologies with physiological and biochemical biomarkers to assess animal health, welfare, and resilience under commercial farm conditions.

The team has extensive experience in field-based research in dairy herds, including heat stress assessment, reproductive performance monitoring, metabolic health evaluation, and validation of animal-based welfare indicators (ABMs). The institution collaborates closely with commercial farms and veterinary practitioners, ensuring practical applicability and translational impact of research outcomes.

The organisation is experienced in national and international research projects and contributes to the development of data-driven decision-support tools for sustainable and welfare-oriented dairy production systems.