Bayesian Fertilizer Response Modeling
Bayesian Fertilizer Response Modeling is a statistical modeling framework that applies Bayesian inference to quantify uncertainty and estimate parameters in crop yield responses to fertilizer inputs, distinguishing itself from classical approaches by incorporating prior knowledge and producing probabilistic predictions of fertilizer effects.
6
Publications
186
Citations
23
Authors
16
Institutions
Publications per year
2017–2026
3
Parents
6
Frederic Ouedraogo, B. Wade Brorsen · Canadian Journal of Agricultural Economics/Revue canadienne d agroeconomie · 2017 · 21 citations
Agriculture, Agronomy, Crop Sciences +17
1–5 of 6
23
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1
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1
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1
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1–5 of 23
16
Agriculture and Agri-Food Canada
Ottawa, Canada
1 h-index
1 publications
45 citations
American Veterinary Medical Association
Schaumburg, United States
1 h-index
1 publications
21 citations
North Dakota State University
Fargo, United States
1 h-index
1 publications
45 citations
Goodwin College
East Hartford, United States
1 h-index
1 publications
45 citations
Biomathematics and Statistics Scotland
Edinburgh, United Kingdom
1 h-index
1 publications
20 citations

University of Minnesota
Minneapolis, United States
1 h-index
1 publications
45 citations
Ellinbank Observatory
Ellinbank, Australia
1 h-index
2 publications
120 citations

Oklahoma State University
Stillwater, United States
1 h-index
1 publications
21 citations
1–8 of 16
1 publications · 23 citations
1
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1 publications · 21 citations
1
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1 publications · 17 citations
1
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1 publications · 20 citations
1
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1 publications · 60 citations
1
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1–5