AuthorBahureksa, Lindsay Ang
MetadataShow full item record
PublisherThe University of Arizona.
RightsCopyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author.
AbstractMany logistical challenges are involved in large-animal healthcare, from transportation and finite availability of experts to a lack of empirical data to diagnose and choose the best path for proper health care. The goal of the Advanced Farrier System (AFS) is to bridge this gap in healthcare for horses. Hoof health plays a major role in overall equine health. By analyzing sensor data, the AFS will identify possible medical issues for individualized hoof care, and provide dimensional guidelines for horseshoeing, depending on the horse's specific needs. After this analysis, the AFS will provide a user-level healthcare summary based on hoof pressure, dimensions, and visual and behavioral cues. The AFS will also enable users to identify and track changes in hoof health over time. Use of the AFS will not replace regularly scheduled health care appointments, but will augment current treatments and provide valuable information to horse owners and health care professionals. The system has the potential to detect health problems before the horse shows any visual or behavioral changes, which will allow early detection and treatment, making the AFS a critical tool for preventative care and treatment of disease and lameness.
Degree ProgramHonors College