Decision tree, a learning tool for the prediction of beef tenderness using rearing factors and carcass characteristics

Mohammed Gagaoua (1) , Valérie Monteils (1) , Brigitte Picard (1)

1 UMRH - Unité Mixte de Recherche sur les Herbivores - UMR 1213

Decision tree, a learning tool for the prediction of beef tenderness using rearing factors and carcass characteristics

Mots clés: Meat tenderness; Young bulls; Farm–to–fork continuum; Clustering; Decision tree; slaughter value

Mots clés: tendrete de la viande; bœuf; composition de la carcasse; élevage

Domaines: Sciences du Vivant [q-bio]

Mohammed Gagaoua, Valérie Monteils, Brigitte Picard. Decision tree, a learning tool for the prediction of beef tenderness using rearing factors and carcass characteristics. Journal of the Science of Food and Agriculture, 2019, 99 (3), pp.1275-1283. ⟨10.1002/jsfa.9301⟩. ⟨hal-01860022⟩