Input-response Modeling
Input-Response Modeling is a predictive modeling framework that characterizes the relationship between variable agricultural inputs and crop response outcomes to optimize seeding rates within the context of site-specific management.
34
Publications
1.3K
Citations
104
Authors
67
Institutions
Publications per year
2017–2026
8
Parents
34
Concepts of Variable Rate Technology with Considerations for Fertilizer Application
John E. Sawyer · jpa · 1994 · 222 citations
Agriculture, Agronomy, Crop Sciences +17
Crop Input Response Functions with Stochastic Plateaus
Gelson Tembo, B. Wade Brorsen, Francis M. Epplin et al. · American Journal of Agricultural Economics · 2008 · 99 citations
Agriculture, Agronomy, Crop Sciences +16
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University of Illinois Urbana-Champaign, United States
2 publications · 115 citations
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1–5 of 104
67

State Street (United States)
Boston, United States
2 h-index
2 publications
72 citations
University of Bonn
Bonn, Germany
2 h-index
4 publications
198 citations
University of Illinois Urbana-Champaign
Urbana, United States
2 h-index
4 publications
266 citations

Urbana University
Urbana, United States
2 h-index
2 publications
115 citations
Purdue University West Lafayette
West Lafayette, United States
2 h-index
2 publications
85 citations
University of Michigan
Ann Arbor, United States
2 h-index
4 publications
72 citations
University of Kentucky
Lexington, United States
2 h-index
3 publications
78 citations
Kansas State University
Manhattan, United States
1 h-index
2 publications
88 citations
1–8 of 67
5 publications · 233 citations
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2 publications · 56 citations
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2 publications · 247 citations
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2 publications · 33 citations
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Repository · 2 publications · 33 citations
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