Open AccessPSXI-16 Inclusion of automated sensor data as a predictor of feed intake increases the variance explained by a random forest model
Author(s) -
Cori Siberski,
M. S. Mayes,
Patrick J. Gorden,
Adam Copeland,
Mary Healey,
B.M. Goetz,
Hamid Beiki,
Luke Kramer,
L.H. Baumgard,
Philip M. Dixon,
James E. Koltes
Publication year - 2020
Publication title -
journal of animal science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.928
H-Index - 156
eISSN - 1525-3015
pISSN - 0021-8812
DOI - 10.1093/jas/skaa278.694
Subject(s) - barn , zoology , dry matter , mathematics , rumen , mean squared error , statistics , chemistry , biology , food science , civil engineering , fermentation , engineering
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom