Implementable Decision Making
Implementable Decision Making is a decision-making framework within autonomous agricultural systems that integrates real-time data processing, predictive modeling, and operational constraints to generate actionable, context-aware control strategies specifically for the deployment of autonomous tractors in dynamic farming environments.
57
Publications
3.3K
Citations
149
Authors
93
Institutions
Publications per year
2017–2026
12
Parents
57
Subgame Perfect Implementation
John Moore, Rafael Repullo · Econometrica · 1988 · 478 citations
On implementing maximum economic yield in commercial fisheries
C.M. Dichmont, Sean Pascoe, Tom Kompas et al. · Proceedings of the National Academy of Sciences · 2009 · 180 citations · Full text
1–5 of 57
149
2
h-index
2
h-index
2
h-index
2
h-index
2
h-index
1–5 of 149
93
University of Michigan
Ann Arbor, United States
4 h-index
4 publications
246 citations

Universidad Politécnica de Madrid
Madrid, Spain
3 h-index
5 publications
380 citations

Pennsylvania State University
State College, United States
2 h-index
3 publications
268 citations

Colorado School of Mines
Golden, United States
2 h-index
2 publications
104 citations

Swedish University of Agricultural Sciences
Uppsala, Sweden
2 h-index
2 publications
222 citations
University of Portsmouth
Portsmouth, United Kingdom
2 h-index
2 publications
104 citations
University of Chile
Santiago, Chile
2 h-index
2 publications
104 citations

Universidad Pablo de Olavide
Seville, Spain
2 h-index
2 publications
104 citations
1–8 of 93
3 publications · 234 citations
3
h-index
2 publications · 104 citations
2
h-index
2 publications · 37 citations
2
h-index
2 publications · 573 citations
2
h-index
2 publications · 222 citations
2
h-index
1–5