Crop Yield Data Quality
Crop Yield Data Quality is the extent to which agricultural yield data accurately, consistently, and reliably represent observed field-level productivity measurements, satisfying the informational requirements for valid agronomic and economic inference in yield insurance applications.
82
Publications
4.4K
Citations
310
Authors
150
Institutions
Publications per year
2017–2026
30
Parents
82
1–5 of 82
310
4
h-index
University of Illinois Urbana-Champaign, United States
3 publications · 75 citations
3
h-index
3
h-index
2
h-index
2
h-index
1–5 of 310
150
Wageningen University & Research
Wageningen, The Netherlands
5 h-index
16 publications
2.8K citations
North Carolina State University
Raleigh, United States
5 h-index
7 publications
405 citations
University of Nebraska–Lincoln
Lincoln, United States
4 h-index
12 publications
1.9K citations
Texas Tech University
Lubbock, United States
3 h-index
5 publications
422 citations
University of Illinois Urbana-Champaign
Urbana, United States
3 h-index
6 publications
155 citations
Agriculture and Food
Canberra, Australia
3 h-index
6 publications
443 citations

The University of Sydney
Sydney, Australia
2 h-index
4 publications
184 citations

Chinese Academy of Sciences
Beijing, China
2 h-index
2 publications
76 citations
1–8 of 150
6 publications · 494 citations
7
h-index
7 publications · 668 citations
7
h-index
4 publications · 260 citations
4
h-index
Repository · 3 publications · 48 citations
3
h-index
3 publications · 462 citations
3
h-index
1–5