Litcius/Paper detail

On supervised learning to model and predict cattle weight in precision livestock breeding

Adriele Giaretta Biase, T. Z. Albertini, Rodrigo Fernandes de Mello

2022Computers and Electronics in Agriculture18 citationsDOI

Topics & Concepts

Context (archaeology)Autoregressive integrated moving averageArtificial neural networkAutoregressive modelMathematicsComputer scienceStatisticsArtificial intelligenceGeographyTime seriesArchaeologyEffects of Environmental Stressors on LivestockAnimal Behavior and Welfare StudiesGenetic and phenotypic traits in livestock
On supervised learning to model and predict cattle weight in precision livestock breeding | Litcius