Yield Data Quality Control
Yield Data Quality Control is a data management process that systematically evaluates, filters, and corrects crop yield measurements from monitoring systems to detect, quantify, and mitigate errors and inconsistencies, thereby ensuring their accuracy, consistency, and suitability for subsequent agronomic and statistical analyses.
43
Publications
2.2K
Citations
169
Authors
76
Institutions
Publications per year
2017–2026
12
43
1–5 of 43
169
3
h-index
2
h-index
2
h-index
2
h-index
2
h-index
1–5 of 169
76
University of Nebraska–Lincoln
Lincoln, United States
4 h-index
11 publications
701 citations
University of Wisconsin–Madison
Madison, United States
3 h-index
6 publications
344 citations

Commonwealth Scientific and Industrial Research Organisation
Canberra, Australia
3 h-index
6 publications
505 citations
Agriculture and Food
Canberra, Australia
2 h-index
5 publications
424 citations

Institut Agro Montpellier
Montpellier, France
2 h-index
5 publications
177 citations
Michigan State University
East Lansing, United States
2 h-index
2 publications
79 citations

The University of Sydney
Sydney, Australia
2 h-index
7 publications
533 citations
University of California, Davis
Davis, United States
2 h-index
3 publications
83 citations
1–8 of 76
6 publications · 349 citations
6
h-index
5 publications · 275 citations
5
h-index
3 publications · 129 citations
3
h-index
2 publications · 128 citations
2
h-index
2 publications · 65 citations
2
h-index
1–5