Yield Monitor Data Cleaning
Yield Monitor Data Cleaning is a data preprocessing methodology that systematically identifies, corrects, and removes spatial, temporal, and sensor-related inaccuracies in raw yield monitor datasets to ensure agricultural productivity data integrity for downstream analysis.
6
Publications
285
Citations
21
Authors
12
Institutions
Publications per year
2017–2026
2
Parents
6
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
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12

Cornell University
Ithaca, United States
1 h-index
7 publications
266 citations
Secretaria de Agricultura e Abastecimento
São Paulo, Brazil
1 h-index
2 publications
74 citations
Kansas State University
Manhattan, United States
1 h-index
1 publications
25 citations

Chinese Academy of Sciences
Beijing, China
1 h-index
1 publications
55 citations
Institute of Geographic Sciences and Natural Resources Research
Beijing, China
1 h-index
1 publications
55 citations

The University of Sydney
Sydney, Australia
1 h-index
3 publications
165 citations

Federal Reserve Bank of Kansas City
Kansas City, United States
1 h-index
1 publications
25 citations

Agricultural & Applied Economics Association
Milwaukee, United States
1 h-index
2 publications
50 citations
1–8 of 12
2 publications · 125 citations
2
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1 publications · 55 citations
1
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1 publications · 43 citations
1
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1 publications · 37 citations
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Repository · 1 publications · 25 citations
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