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

•Inferring milk yields along the entire lactation curve by using deep learning.•Extracting a latent representation of a lactation curve with autoencoders.•Predicting and interpolating milk yields simultaneously.•Modeling the impact of health and reproduction events on the lactation curve. In this st...

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Bibliographic Details
Published in:	Computers and electronics in agriculture Vol. 175; p. 105600
Main Authors:	Liseune, Arno, Salamone, Matthieu, Van den Poel, Dirk, Van Ranst, Bonifacius, Hostens, Miel
Format:	Journal Article
Language:	English
Published:	Amsterdam Elsevier B.V 01.08.2020 Elsevier BV
Subjects:	agriculture Animal monitoring Autoencoder Breastfeeding & lactation Convolutional neural network cows Culling Deep learning electronics herds Interpolation lactation lactation curve lactation number Milk milk yield Milk yield interpolation Milk yield prediction Multilayer perceptrons neural networks Representations reproduction statistics yield forecasting Deep learning Milk yield interpolation Animal monitoring Milk yield prediction Autoencoder Convolutional neural network
ISSN:	0168-1699, 1872-7107
Online Access:	Get full text
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