Predictive Intake Models is a computational framework that estimates an animal's feed or nutrient consumption over time by integrating physiological, environmental, and behavioral variables to differentiate from simpler empirical or static intake equations.
44
Publications
2.5K
Citations
185
Authors
90
Institutions
Publications per year
2017–2026
11
Parents
Publications
44
1–5 of 44
Authors
185
- WH
3
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- JP
2
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- KI
2
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2
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1–5 of 185
Institutions
90
Wye College
Wye, United Kingdom
3 h-index
7 publications
297 citations
Texas Tech University
Lubbock, United States
3 h-index
6 publications
160 citations
University of London
London, United Kingdom
3 h-index
7 publications
297 citations
National Institute of Infectious Diseases
Tokyo, Japan
2 h-index
2 publications
35 citations
Korea University
Seoul, South Korea
2 h-index
2 publications
35 citations
Scottish Agricultural Science Agency
Edinburgh, United Kingdom
2 h-index
4 publications
175 citations
University of Alabama
Tuscaloosa, United States
2 h-index
7 publications
138 citations
University of California, Davis
Davis, United States
2 h-index
4 publications
396 citations
1–8 of 90
Venues
- Journal of Animal Science
6 publications · 853 citations
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- Livestock Production Science
4 publications · 86 citations
4
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- Journal of Dairy Science
JDS · 4 publications · 296 citations
4
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- The Journal of Agricultural Science
3 publications · 165 citations
3
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- Nutrition Research and Practice
2 publications · 35 citations
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