This interdisciplinary training program offers five PhD candidates the opportunity to work as a team to contribute to a more sustainable agriculture with improved livestock farming. PLFDoc aims to develop new computer vision (CV) and explainable AI (XAI) based tools that enable the prediction of parturition, animal identification, and estimation of individual water and feed intake in pigs and cattle. The development of these methods requires the combination of expertise from fields such as veterinary medicine, computer vision, data science, behavioral biology, and agricultural sciences. Please see also the corresponding press release.

Project Partners

• University of Veterinary Medicine Vienna (vetmeduni)
• University of Applied Sciences Upper Austria (fhoö)

Funding

This project receives funding through the The Austrian Science Fund (FWF) as part of its #doc.funds.connect program.