Spatial Yield Prediction
Spatial Yield Prediction is a geospatial modeling technique that distinguishes itself by estimating crop yield variations across heterogeneous landscapes through the integration of location-specific environmental, agronomic, and remote sensing data within a unified predictive framework.
144
Publications
7.3K
Citations
599
Authors
255
Institutions
Publications per year
2017–2026
80
Parents
144
Sami Khanal, John P Fulton, Andrew Klopfenstein et al. · Computers and Electronics in Agriculture · 2018 · 331 citations
Automated Visual Yield Estimation in Vineyards
Stephen Nuske, Kyle Wilshusen, Supreeth Achar et al. · Journal of Field Robotics · 2014 · 228 citations · Full text
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255

Chinese Academy of Sciences
Beijing, China
8 h-index
16 publications
957 citations
Wageningen University & Research
Wageningen, The Netherlands
5 h-index
13 publications
1.3K citations
University of Chinese Academy of Sciences
Beijing, China
5 h-index
9 publications
615 citations
University of Illinois Urbana-Champaign
Urbana, United States
4 h-index
9 publications
700 citations

Beijing Normal University
Beijing, China
4 h-index
27 publications
1.4K citations

Zhejiang University
Hangzhou, China
4 h-index
22 publications
2.6K citations
University of California, Davis
Davis, United States
4 h-index
7 publications
310 citations
Leibniz Centre for Agricultural Landscape Research
Müncheberg, Germany
4 h-index
12 publications
468 citations
1–8 of 255
10 publications · 521 citations
10
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10 publications · 672 citations
9
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7 publications · 368 citations
7
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JAG · 5 publications · 287 citations
5
h-index
5 publications · 351 citations
5
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