Ground Truth Verification
Ground Truth Verification is a methodological process in agricultural data science that establishes the accuracy and reliability of crop yield measurements by comparing observed data against independently validated, high-fidelity reference data obtained through direct, empirical field assessments.
1.4K
Publications
85.1K
Citations
6.5K
Authors
1.9K
Institutions
Publications per year
2017–2026
578
Parents
1.4K
1 year, 1000 km: The Oxford RobotCar dataset
Will Maddern, Geoffrey Pascoe, Chris Linegar et al. · The International Journal of Robotics Research · 2016 · 1.6K citations
The challenge of mapping the human connectome based on diffusion tractography
Klaus Maier‐Hein, Peter Neher, Jean-Christophe Houde et al. · Nature Communications · 2017 · 1.4K citations · Full text
Medicine, Neuroscience, Radiology +14
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Chinese Academy of Sciences
Beijing, China
23 h-index
142 publications
6.2K citations

Centre National de la Recherche Scientifique
Paris, France
20 h-index
94 publications
11.7K citations
University of Maryland, College Park
College Park, United States
17 h-index
41 publications
2.7K citations
University of Washington
Seattle, United States
17 h-index
39 publications
3K citations
Goddard Space Flight Center
Greenbelt, United States
14 h-index
41 publications
2.8K citations
University of Oxford
Oxford, United Kingdom
13 h-index
50 publications
8.6K citations
ETH Zurich
Zurich, Switzerland
13 h-index
37 publications
2.9K citations
Stanford University
Stanford, United States
12 h-index
36 publications
2.2K citations
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42 publications · 1.8K citations
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JGR · 21 publications · 2.2K citations
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26 publications · 1.7K citations
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23 publications · 1.2K citations
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33 publications · 1.3K citations
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