Model Predictive Scheduling
Model Predictive Scheduling is a scheduling framework that belongs to the class of model-based optimization methods, distinguished by its use of predictive models to iteratively compute optimal crop management decisions over a rolling time horizon while incorporating real-time environmental and operational constraints.
62
Publications
2.4K
Citations
212
Authors
85
Institutions
Publications per year
2017–2026
33
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85
University of Newcastle Australia
Newcastle, Australia
2 h-index
3 publications
114 citations
ETH Zurich
Zurich, Switzerland
2 h-index
5 publications
108 citations
Bandung Institute of Technology
Bandung, Indonesia
2 h-index
3 publications
185 citations
Jiangnan University
Wuxi, China
2 h-index
7 publications
141 citations
Shandong University
Jinan, China
2 h-index
5 publications
121 citations
Wuhan University
Wuhan, China
2 h-index
3 publications
84 citations
Texas A&M University
College Station, United States
2 h-index
6 publications
242 citations

Lund University
Lund, Sweden
2 h-index
8 publications
336 citations
1–8 of 85
6 publications · 401 citations
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5 publications · 62 citations
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3 publications · 88 citations
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3 publications · 132 citations
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2 publications · 92 citations
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