Prediction of tail biting in pigs using partial least squares regression and artificial neural networks-Reference-Cited by-同舟云学术

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Prediction of tail biting in pigs using partial least squares regression and artificial neural networks

Published:2024-01 Issue: Volume:216 Page:108477
ISSN:0168-1699
Container-title:Computers and Electronics in Agriculture
language:en
Short-container-title:Computers and Electronics in Agriculture

Author:

Drexl Veronika,Dittrich Imme,Wilder Thore,Diers Sophie,Janssen Heiko,Krieter Joachim

Funder

Bundesanstalt für Landwirtschaft und Ernährung

Federal Ministry of Food and Agriculture

Bundesministerium für Ernährung und Landwirtschaft

Publisher

Elsevier BV

Subject

Horticulture,Computer Science Applications,Agronomy and Crop Science,Forestry

Reference78 articles.

1. A nonlinear autoregressive modeling approach for forecasting groundwater level fluctuation in urban aquifers;Alsumaiei;Water,2020

2. Growing pigs’ drinking behaviour: Number of visits, duration, water intake and diurnal variation;Andersen;Animal,2014

3. Using evolutionary operation technique to evaluate different management initiatives at herd level;Andersen;Livest. Sci.,2016

4. Anonymus, 2016. Deutscher Schweine-Boniturschlüssel (DSBS). https://www.fli.de/fileadmin/FLI/ITT/Deutscher_Schweine_Boniturschluessel_2017-06-30_de.pdf.

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