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PiaBreed: Machine Learning for automated ovulation and birth monitoring in horses

Piavita System

At a glance


The project comprises the tasks of  a comprehensive data collection (Piavita/ University of Bern) and the development of a mobile, non-invasive system (Piavita/ZHAW) for veterinarians and breeders.  The goal is to collect important vital data and to develop a new algorithm scheme with which

- ovulation in mares can be reliably determined  without rectal control

- the progress of  a foal birth can be monitored and predicted