PiaBreed: Machine Learning for automated ovulation and birth monitoring in horses
At a glance
- Project leader : , Thomas Ott
- Deputy of project leader : Stefan Glüge
- Project team : Matteo Delucchi, Anna Wróbel
- Project status : completed
- Funding partner : Innosuisse (Innovationsprojekt / Projekt Nr. 34337.1 IP-LS)
- Project partner : Universität Bern, Piavita AG
- Contact person : Thomas Ott
Description
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
Publications
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Müller, Antonia; Glüge, Stefan; Vidondo, Beatriz; Wróbel, Anna; Ott, Thomas; Sieme, Harald; Burger, Dominik,
2022.
Increase of skin temperature prior to parturition in mares.
Theriogenology.
190, pp. 46-51.
Available from: https://doi.org/10.1016/j.theriogenology.2022.07.007