In the Digital Vivarium, every cage is subject to automated daily evaluations to measure the moisture content in the bedding, guiding you towards a cage change schedule that aligns with the actual needs instead of a rigid calendar. Utilising a machine learning approach, the DVC® system enhances its daily moisture assessments of cage bedding by integrating your default configuration data with your continuous feedback. This method promotes a higher level of uniformity across your facility.
Embracing this innovative approach offers considerable advantages:
· Significant reduction in the frequency of cage changes, commonly between 40% and 60%, translating to lower operational costs through the conservation of resources like energy and supplies and a decrease in material needs and waste, such as bedding.
· Improved animal welfare by minimising stress related to bedding changes.
· A reduction in the workload for staff, which may alleviate ergonomic concerns associated with this repetitive task.
Many digital facilities have already adopted these advancements, witnessing substantial improvements in economic efficiency, standards of animal welfare, and human resource management.