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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Vydáno v:	Computers and electronics in agriculture Ročník 175; s. 105600
Hlavní autoři:	Liseune, Arno, Salamone, Matthieu, Van den Poel, Dirk, Van Ranst, Bonifacius, Hostens, Miel
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Amsterdam Elsevier B.V 01.08.2020 Elsevier BV
Témata:	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
On-line přístup:	Získat plný text
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