Sensor-based Yield Analysis
Sensor-Based Yield Analysis is a methodological framework within spatial variability analysis that utilizes in-situ or remote sensing technologies to capture, quantify, and interpret spatiotemporal patterns of agricultural yield variability across fields.
71
Publications
3.7K
Citations
312
Authors
121
Institutions
Publications per year
2017–2026
24
Parents
71
1–5 of 71
312
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1–5 of 312
121
North Dakota State University
Fargo, United States
6 h-index
15 publications
833 citations
University of Nebraska–Lincoln
Lincoln, United States
4 h-index
10 publications
814 citations

Oklahoma State University
Stillwater, United States
3 h-index
22 publications
7.4K citations
University of Maine at Presque Isle
Presque Isle, United States
3 h-index
3 publications
206 citations
Banasthali University
Jaipur, India
2 h-index
3 publications
82 citations
Texas Tech University
Lubbock, United States
2 h-index
6 publications
128 citations
Agriculture and Agri-Food Canada
Ottawa, Canada
2 h-index
5 publications
152 citations
Universidade de São Paulo
São Paulo, Brazil
2 h-index
7 publications
129 citations
1–8 of 121
9 publications · 1.2K citations
9
h-index
6 publications · 270 citations
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4 publications · 254 citations
4
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3 publications · 514 citations
3
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3 publications · 158 citations
3
h-index
1–5