Predictive Yield Mapping
Predictive Yield Mapping is a geospatial modeling framework that integrates historical yield data, environmental variables, and machine learning algorithms to generate pre-harvest spatial predictions of crop productivity, distinguishing itself from conventional yield mapping by emphasizing forecast accuracy and spatial resolution for proactive harvest planning.
41
Publications
2.2K
Citations
201
Authors
104
Institutions
Publications per year
2017–2026
32
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Elpiniki I. Papageorgiou, Athanasios Markinos, T. Gemtos · Applied Soft Computing · 2011 · 155 citations
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Tsinghua University
Beijing, China
3 h-index
8 publications
561 citations

AgroParisTech
Palaiseau, France
3 h-index
6 publications
301 citations

Chinese Academy of Sciences
Beijing, China
2 h-index
2 publications
254 citations
CEA Paris-Saclay
Gif-sur-Yvette, France
2 h-index
6 publications
363 citations
Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement
Paris, France
2 h-index
5 publications
243 citations

Aarhus University
Aarhus, Denmark
2 h-index
8 publications
276 citations

Samara National Research University
Samara, Russia
2 h-index
6 publications
248 citations

The University of Sydney
Sydney, Australia
2 h-index
8 publications
340 citations
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4 publications · 217 citations
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4 publications · 156 citations
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4 publications · 156 citations
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2 publications · 166 citations
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SJAR · 1 publications · 24 citations
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