Yield Prediction Validation
Yield Prediction Validation is a methodological framework within agricultural and environmental modeling that systematically assesses the accuracy, reliability, and generalizability of yield prediction models by comparing their outputs against observed empirical data under defined conditions.
321
Publications
15.7K
Citations
1.2K
Authors
477
Institutions
Publications per year
2017–2026
142
Parents
321
Crop Yield Prediction Using Deep Neural Networks
Frontiers in Plant Science · 2019 · 795 citations · Full text
1–5 of 321
1.2K
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Grassland, Soil and Water Research Laboratory, United States
4 publications · 311 citations
4
h-index
3
h-index
1–5 of 1.2K
477

Agricultural Research Service
Washington, United States
9 h-index
15 publications
1.4K citations

University of Georgia
Athens, United States
8 h-index
14 publications
919 citations
Universidade de São Paulo
São Paulo, Brazil
8 h-index
15 publications
1.1K citations
University of Florida
Gainesville, United States
8 h-index
20 publications
1.1K citations
Brazilian Agricultural Research Corporation
Brasília, Brazil
5 h-index
7 publications
241 citations

Ghent University
Ghent, Belgium
5 h-index
11 publications
513 citations

University of Minnesota
Minneapolis, United States
5 h-index
11 publications
672 citations
Texas A&M University
College Station, United States
5 h-index
11 publications
485 citations
1–8 of 477
23 publications · 1.8K citations
19
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20 publications · 844 citations
15
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14 publications · 651 citations
12
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11 publications · 794 citations
11
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9 publications · 478 citations
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