Feed Prediction Models
Feed Prediction Models is a computational framework within precision feeding systems that uses empirical data and algorithmic techniques to forecast individual animal feed intake and nutritional requirements, distinguishing it from general feeding guidelines by enabling personalized, real-time dietary recommendations based on dynamic physiological and environmental indicators.
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1.8K
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177
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84
Institutions
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2017–2026
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N. Bostijn, Jens Dhondt, Alexander Ryckaert et al. · International Journal of Pharmaceutics · 2018 · 79 citations · Full text
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University of Córdoba
Córdoba, Spain
5 h-index
19 publications
437 citations

Cornell University
Ithaca, United States
4 h-index
17 publications
1.8K citations
University College London
London, United Kingdom
3 h-index
7 publications
120 citations

Pennsylvania State University
State College, United States
2 h-index
4 publications
100 citations

University of South Bohemia in České Budějovice
České Budějovice, Czechia
2 h-index
2 publications
36 citations
University of Guelph
Guelph, Canada
2 h-index
4 publications
80 citations
Institut de Recherche en Informatique et Systèmes Aléatoires
Rennes, France
1 h-index
3 publications
60 citations
Colorado Parks and Wildlife
Denver, United States
1 h-index
1 publications
33 citations
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JDS · 7 publications · 504 citations
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4 publications · 184 citations
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3 publications · 106 citations
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3 publications · 64 citations
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2 publications · 79 citations
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