Multi-source Yield Data Integration
Multi-Source Yield Data Integration is a systematic framework that synthesizes heterogeneous yield-related measurements from diverse observational, experimental, and simulation-based sources into a unified analytical dataset to enhance accuracy, scalability, and generalizability in agricultural productivity assessments.
17
Publications
1.5K
Citations
96
Authors
38
Institutions
Publications per year
2017–2026
15
Parents
17
Prediction of Winter Wheat Yield Based on Multi-Source Data and Machine Learning in China
Jichong Han, Zhao Zhang, Juan Cao et al. · Remote Sensing · 2020 · 293 citations · Full text
Identifying the Contributions of Multi-Source Data for Winter Wheat Yield Prediction in China
Juan Cao, Zhao Zhang, Fulu Tao et al. · Remote Sensing · 2020 · 125 citations · Full text
Agriculture, Agronomy, Crop Sciences +17
1–5 of 17
96
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4
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4
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3
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Institute of Geographic Sciences and Natural Resources Research, China
3 publications · 618 citations
3
h-index
1–5 of 96
38

Chinese Academy of Sciences
Beijing, China
7 h-index
14 publications
1.3K citations

Beijing Normal University
Beijing, China
5 h-index
26 publications
5.7K citations
State Key Laboratory of Earth Surface Processes and Resource Ecology
Beijing, China
5 h-index
26 publications
5.7K citations
Institute of Geographic Sciences and Natural Resources Research
Beijing, China
4 h-index
5 publications
754 citations
University of Chinese Academy of Sciences
Beijing, China
3 h-index
4 publications
320 citations
Chang'an University
Xi'an, China
2 h-index
2 publications
103 citations
Chinese Academy of Agricultural Sciences
Beijing, China
2 h-index
12 publications
928 citations
Northeast Institute of Geography and Agroecology
Changchun, China
2 h-index
6 publications
284 citations
1–8 of 38
4 publications · 602 citations
4
h-index
2 publications · 109 citations
2
h-index
2 publications · 419 citations
2
h-index
1 publications · 47 citations
1
h-index
1 publications · 99 citations
1
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1–5