Machine learning algorithms for lamb survival-Reference-Cited by-同舟云学术

Machine learning algorithms for lamb survival

Published:2021-03 Issue: Volume:182 Page:105995
ISSN:0168-1699
Container-title:Computers and Electronics in Agriculture
language:en
Short-container-title:Computers and Electronics in Agriculture

Author:

Odevci B.B.,Emsen E.,Aydin M.N.

Funder

Horizon 2020

Publisher

Elsevier BV

Subject

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

Reference44 articles.

1. Effects of ewe live weight and age on reproductive performance, lamb growth, and survival in central anatolian merino sheep;Aktaş;Arch Anim Breed.,2015

2. Using a three-axis accelerometer to identify and classify sheep behaviour at pasture;Alvarenga;Appl. Anim. Beh. Sci.,2016

3. The survival analysis of the potential risk factors affecting lamb mortality in deccani sheep;Bangar;Journal of Dairy, Veternary and Animal Research,2016

4. Random forests;Breiman;Mach. Learn.,2001

5. Lamb survival in relation to lambing and neonatal behaviour in medium wool Merino lines divergently selected for multiple rearing ability;Cloete;Aust. J. Exp. Agric.,1998

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