Yield Prediction
Yield Prediction is a quantitative modeling task in agronomy and crop science that estimates future crop yield for a given crop, location, and time period based on predictive relationships derived from biophysical, management, environmental, and/or remotely sensed data.
10.1K
Publications
547.5K
Citations
27.9K
Authors
4.7K
Institutions
Publications per year
2017–2026
4.8K
Children
Climate-driven Yield PredictionCrop Growth Model CouplingEarly Season Yield PredictionField-level Yield PredictionHarvest Yield PredictionIn-season Yield PredictionPhenology-based Yield PredictionPrecision Agriculture Yield PredictionRegional Yield PredictionRemote Sensing Based Yield Prediction
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27.9K
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4.7K
Wageningen University & Research
Wageningen, The Netherlands
81 h-index
573 publications
68.5K citations

Chinese Academy of Sciences
Beijing, China
74 h-index
667 publications
50.5K citations

Commonwealth Scientific and Industrial Research Organisation
Canberra, Australia
71 h-index
450 publications
35.5K citations
University of Florida
Gainesville, United States
70 h-index
559 publications
52.7K citations

Agricultural Research Service
Washington, United States
63 h-index
449 publications
31.7K citations
China Agricultural University
Beijing, China
63 h-index
749 publications
50.3K citations
University of Nebraska–Lincoln
Lincoln, United States
60 h-index
406 publications
60.6K citations
Chinese Academy of Agricultural Sciences
Beijing, China
56 h-index
528 publications
36.2K citations
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268 publications · 25.8K citations
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367 publications · 31.3K citations
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389 publications · 21.8K citations
75
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237 publications · 17.9K citations
70
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213 publications · 17.2K citations
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