Yield Data Assimilation
Yield Data Assimilation is a computational framework within agricultural data science that integrates heterogeneous sources of crop yield observations into predictive models through systematic error correction and spatiotemporal alignment to improve yield estimation accuracy.
46
Publications
3.6K
Citations
201
Authors
91
Institutions
Publications per year
2017–2026
29
Parents
46
1–5 of 46
201
7
h-index
Institute of Agricultural Resources and Regional Planning, China
5 publications · 229 citations
5
h-index
Institute of Agricultural Resources and Regional Planning, China
5 publications · 263 citations
5
h-index
4
h-index
4
h-index
1–5 of 201
91
Institute of Agricultural Resources and Regional Planning
Beijing, China
11 h-index
34 publications
2.7K citations
Chinese Academy of Agricultural Sciences
Beijing, China
10 h-index
33 publications
2.7K citations
China Agricultural University
Beijing, China
9 h-index
35 publications
5.5K citations

Chinese Academy of Sciences
Beijing, China
8 h-index
15 publications
927 citations

Beijing Normal University
Beijing, China
7 h-index
23 publications
1.9K citations

China Meteorological Administration
Beijing, China
6 h-index
6 publications
749 citations
Ministry of Agriculture and Rural Affairs
Beijing, China
6 h-index
24 publications
954 citations
Institute of Geographic Sciences and Natural Resources Research
Beijing, China
5 h-index
9 publications
570 citations
1–8 of 91
12 publications · 505 citations
12
h-index
7 publications · 1.4K citations
7
h-index
3 publications · 434 citations
3
h-index
3 publications · 90 citations
3
h-index
3 publications · 293 citations
3
h-index
1–5