Yield Data Aggregation
Yield Data Aggregation is a methodological process within yield data integration that systematically combines raw or processed yield measurements from heterogeneous sources into unified summaries or structures to enable comprehensive analysis and interpretation.
10
Publications
209
Citations
58
Authors
31
Institutions
Publications per year
2017–2026
4
Parents
10
SoK: Yield Aggregators in DeFi
Simon Cousaert, Jiahua Xu, Toshiko Matsui · 2022 · 55 citations · Full text
1–5 of 10
58
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2
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2
h-index
1
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1
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1–5 of 58
31
Wageningen University & Research
Wageningen, The Netherlands
3 h-index
3 publications
63 citations
University of Bonn
Bonn, Germany
2 h-index
7 publications
151 citations
Leibniz Centre for Agricultural Landscape Research
Müncheberg, Germany
2 h-index
10 publications
208 citations

University of Göttingen
Göttingen, Germany
2 h-index
3 publications
60 citations

Swedish University of Agricultural Sciences
Uppsala, Sweden
1 h-index
3 publications
66 citations
Forschungszentrum Jülich
Jülich, Germany
1 h-index
1 publications
22 citations
University of Florence
Florence, Italy
1 h-index
2 publications
44 citations
Digital Catapult (United Kingdom)
London, United Kingdom
1 h-index
2 publications
110 citations
1–8 of 31
AFR · 2 publications · 37 citations
2
h-index
2 publications · 41 citations
2
h-index
1 publications · 26 citations
1
h-index
1 publications · 11 citations
1
h-index
1 publications · 11 citations
1
h-index
1–5