Development of prediction model for body weight and energy balance indicators from milk traits in lactating dairy cows based on deep neural networks

Author:

Jeon EunjeongORCID,Cho SangbuemORCID,Hwang SeongsooORCID,Cho Kwanghyun,Gondro Cedric,Choi Nag-Jin

Funder

National Research Foundation of Korea

Ministry of Education

Publisher

Elsevier BV

Subject

Multidisciplinary

Reference34 articles.

1. Body condition estimation on cows from depth images using convolutional neural networks;Alvarez;Comput. Electron. Agric.,2018

2. Assessment of the influence of environmental variables on pig's body temperature using ANN and MLR models. Indian;Basak;J Anim. Res.,2020

3. Artificial neural networks and multiple linear regression as potential methods for modeling body surface temperature of pig;Basak;J. Appl. Anim. Res.,2020

4. Bruhns, A., Deurveilher, G., Roy, J.S., 2005. A non-linear regression model for midterm load forecasting and improvements in seasonality. In: Proceedings of the 15th Power System Competition Conference (PSCC), Liege, pp. 22-26.

5. The association of subclinical hypocalcemia, negative energy balance and disease with bodyweight change during the first 30 days post-partum in dairy cows milked with automatic milking systems;Caixeta;Vet. J.,2015

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