Validation Of Yield Models
Validation of Yield Models is the systematic assessment of the accuracy and reliability of remote sensing-based yield prediction models by comparing their outputs to independent, ground-truthed observational data to quantify model performance and generalizability.
68
Publications
2.6K
Citations
266
Authors
141
Institutions
Publications per year
2017–2026
33
68
Potato Yield Prediction Using Machine Learning Techniques and Sentinel 2 Data
Diego Gómez, Pablo Salvador, J. Sanz et al. · Remote Sensing · 2019 · 184 citations · Full text
Leonardo Amaral Monteiro, Paulo César Sentelhas, George Ulguim Pedra · International Journal of Climatology · 2017 · 146 citations · Full text
1–5 of 68
266
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Agri-Food and Veterinary Authority of Singapore, Singapore
1 publications · 73 citations
1
h-index
1–5 of 266
141
University of Chinese Academy of Sciences
Beijing, China
4 h-index
3 publications
47 citations

Chinese Academy of Sciences
Beijing, China
4 h-index
8 publications
128 citations
Universidade de São Paulo
São Paulo, Brazil
3 h-index
5 publications
450 citations

Cornell University
Ithaca, United States
3 h-index
3 publications
224 citations
Aerospace Information Research Institute
Beijing, China
3 h-index
5 publications
89 citations
Brazilian Agricultural Research Corporation
Brasília, Brazil
3 h-index
4 publications
71 citations
Institute of Remote Sensing and Digital Earth
Beijing, China
2 h-index
2 publications
45 citations
University of Michigan
Ann Arbor, United States
2 h-index
3 publications
116 citations
1–8 of 141
5 publications · 338 citations
5
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4 publications · 121 citations
4
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4 publications · 146 citations
4
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3 publications · 66 citations
3
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2 publications · 34 citations
2
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1–5