Data underlying "Assessing the impact of husbandry conditions on broiler meat quality using machine learning"

This repository contains the data used in the publication "Assessing the impact of husbandry conditions on broiler meat quality using machine learning" by Fendor et al. The data was collected as part of the European project mEATquality. The aim of the project was to study the effects of extensive husbandry practices on the quality of meat. The trials conducted within the project covered space allowance, space quality, breed, and diet. The meat quality was measured through physiochemical analysis, a sensory panel, and consumer tasters. More information about the set up of the study in the project can be found in the accompanying publication and on the project website: meatquality.eu.