Økt spedgrisoverlevelse ved bruk av kunstig intelligens

Offentlig prosjektsammendrag

This project aims to develop multi-modal analysis methods for obtaining, objectively and automatically, phenotypes describing positive mothering abilities. By doing so, we expect to get improve specificity of the phenotypes, and thereby improve the heritability, genetic progress, and piglet survival. We will acquire data with multiple modalities to better capture the complexity of the traits: sow communication will require combining audio and video of the freefarrowing pen, whereas leg conformation will require lateral capture of the animal. By using existing and developing new analysis methods based on machine learning, we will extract high quality phenotypes that will reflect the traits of interest. Finally, we will be analysing these phenotypes against genomic data for these animals, with the final objective to include these phenotypes in our breeding programme to directly increase piglet survival and thus animal welfare.