Yield Data Cleaning is a data preprocessing procedure in yield mapping and yield monitoring that systematically detects, removes, or corrects erroneous, inconsistent, or otherwise unreliable yield monitor observations to obtain an accurate and analytically robust representation of spatial yield patterns.
15
Publications
964
Citations
54
Authors
28
Institutions
Publications per year
2017–2026
4
Publications
15
Remedial Correction of Yield Map Data
Simon Blackmore · Precision Agriculture · 1999 · 148 citations
Screening Yield Monitor Data Improves Grain Yield Maps
G. C. Simbahan, Achim Dobermann, J. L. Ping · Agronomy Journal · 2004 · 87 citations
Agriculture, Agronomy, Crop Sciences +16
1–5 of 15
Authors
54
- ST
2
h-index
- KA
2
h-index
- RR
1
h-index
- BO
1
h-index
- AC
1
h-index
1–5 of 54
Institutions
28
Universidade de São Paulo
São Paulo, Brazil
1 h-index
2 publications
74 citations
Universidade Brasil
São Paulo, Brazil
1 h-index
2 publications
74 citations
University of Nebraska–Lincoln
Lincoln, United States
1 h-index
3 publications
261 citations
Institute of Geographic Sciences and Natural Resources Research
Beijing, China
1 h-index
1 publications
55 citations
Ecosystem Sciences
Canberra, Australia
1 h-index
1 publications
81 citations
The University of Sydney
Sydney, Australia
1 h-index
3 publications
165 citations
Agriculture Food and Rural Development
Winnipeg, Canada
1 h-index
4 publications
152 citations
Chinese Academy of Sciences
Beijing, China
1 h-index
1 publications
55 citations
1–8 of 28
Venues
- Precision Agriculture
4 publications · 256 citations
4
h-index
- Agronomy Journal
3 publications · 283 citations
3
h-index
- Scientia Agricola
1 publications · 37 citations
1
h-index
- International Journal of Production Economics
1 publications · 191 citations
1
h-index
- Bioresource Technology
1 publications · 27 citations
1
h-index
1–5