Yield Data Accuracy Assessment is a methodological framework within precision agriculture that systematically evaluates the fidelity of harvested yield measurements derived from yield monitors by quantifying deviations between observed sensor-derived data and ground-truth reference measurements under controlled calibration conditions.
39
Publications
1.3K
Citations
154
Authors
64
Institutions
Publications per year
2017–2026
8
Parents
Publications
39
1–5 of 39
Authors
154
- HL
2
h-index
- PG
2
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- ST
2
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- RP
2
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- KA
2
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1–5 of 154
Institutions
64
Institute of Grassland Research
Hohhot, China
2 h-index
4 publications
86 citations
University of Nottingham
Nottingham, United Kingdom
2 h-index
2 publications
40 citations
Quality Research
San Antonio, United States
2 h-index
6 publications
456 citations
Ministry of Agriculture and Rural Affairs
Beijing, China
2 h-index
6 publications
260 citations
Tea Research Institute
Hangzhou, China
2 h-index
5 publications
239 citations
University of Illinois Urbana-Champaign
Urbana, United States
2 h-index
2 publications
30 citations
University of Georgia
Athens, United States
2 h-index
8 publications
251 citations
University of Wisconsin–Madison
Madison, United States
2 h-index
4 publications
100 citations
1–8 of 64
Venues
- Applied Engineering in Agriculture
4 publications · 69 citations
4
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- Agronomy Journal
4 publications · 231 citations
4
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- Grass and Forage Science
2 publications · 40 citations
2
h-index
- Transactions of the ASAE
2 publications · 50 citations
2
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- International Journal of Remote Sensing
2 publications · 152 citations
2
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1–5