Rate Recommendation Algorithms is a computational method that generates site-specific input application rates in precision agriculture by differentiating spatial variability in soil and crop conditions through data-driven analysis and decision rules.
3
Publications
157
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16
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16
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Publications per year
2017–2026
2
Parents
Publications
3
Information flow modeling based on diffusion rate for prediction and ranking
Xiaodan Song, Yün Chi, Koji Hino et al. · 2007 · 127 citations
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Authors
16
- KH
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- CA
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- BL
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- DB
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- PR
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1–5 of 16
Institutions
16
IAC (United States)
New York, United States
1 h-index
1 publications
20 citations
Iowa State University
Ames, United States
1 h-index
1 publications
20 citations
Purdue University West Lafayette
West Lafayette, United States
1 h-index
1 publications
20 citations
University of Nebraska–Lincoln
Lincoln, United States
1 h-index
1 publications
20 citations
North Dakota State University
Fargo, United States
1 h-index
1 publications
20 citations
Animal Health Institute
Washington D.C., United States
1 h-index
1 publications
20 citations
Quality Research
San Antonio, United States
1 h-index
2 publications
40 citations
Cropping Systems Research Laboratory
Lubbock, United States
1 h-index
2 publications
40 citations
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- Agronomy Journal
1 publications · 20 citations
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- Information Processing & Management
1 publications · 10 citations
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