Prescription Map Optimization
Prescription Map Optimization is a computational method within precision agriculture that systematically refines spatially variable input recommendations in prescription maps to maximize agronomic efficiency and resource allocation while minimizing environmental impact.
12
Publications
326
Citations
61
Authors
28
Institutions
Publications per year
2017–2026
8
Parents
12
1–5 of 12
61
2
h-index
2
h-index
2
h-index
2
h-index
National Engineering Research Center for Information Technology in Agriculture, China
1 publications · 17 citations
1
h-index
1–5 of 61
28

Agricultural Research Service
Washington, United States
2 h-index
2 publications
38 citations
Heidelberg University
Heidelberg, Germany
1 h-index
1 publications
42 citations

Cotton (United States)
Cary, United States
1 h-index
1 publications
10 citations
University of Michigan
Ann Arbor, United States
1 h-index
1 publications
15 citations

Universidad de Sevilla
Seville, Spain
1 h-index
1 publications
34 citations

Hubei University
Wuhan, China
1 h-index
2 publications
34 citations
University of California, Davis
Davis, United States
1 h-index
1 publications
34 citations
Montana Institute on Ecosystems
Helena, United States
1 h-index
1 publications
15 citations
1–8 of 28
2 publications · 46 citations
2
h-index
2 publications · 53 citations
2
h-index
NZJA · 1 publications · 11 citations
1
h-index
1 publications · 69 citations
1
h-index
JARS · 1 publications · 10 citations
1
h-index
1–5