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Leveraging latent representations for milk yield prediction and interpolation using deep learning

Arno Liseune, Matthieu Salamone, Dirk Van den Poel, Bonifacius Van Ranst, Miel Hostens

2020Computers and Electronics in Agriculture18 citationsDOIOpen Access PDF

Topics & Concepts

LactationCullingAutoencoderStatisticsHerdMathematicsDeep learningComputer scienceArtificial intelligenceBiologyEcologyPregnancyGeneticsEffects of Environmental Stressors on LivestockGenetic and phenotypic traits in livestockAnimal Behavior and Welfare Studies
Leveraging latent representations for milk yield prediction and interpolation using deep learning | Litcius