Phenology-Based Yield Forecasting is a crop yield prediction methodology that integrates remotely sensed vegetation phenological metrics to model and forecast yield outcomes based on the timing and progression of plant developmental stages.
76
Publications
5.5K
Citations
372
Authors
172
Institutions
Publications per year
2017–2026
49
Publications
76
County-Level Soybean Yield Prediction Using Deep CNN-LSTM Model
Jie Sun, Liping Di, Ziheng Sun et al. · Sensors · 2019 · 354 citations · Full text
Integrated phenology and climate in rice yields prediction using machine learning methods
Yahui Guo, Yongshuo H. Fu, Fanghua Hao et al. · Ecological Indicators · 2020 · 283 citations · Full text
Agriculture, Agronomy, Crop Sciences +17
1–5 of 76
Authors
372
- LX
3
h-index
- AD
3
h-index
- ED
2
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- SA
2
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- MM
2
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1–5 of 372
Institutions
172
Chinese Academy of Sciences
Beijing, China
7 h-index
14 publications
1.2K citations
Institute of Geographic Sciences and Natural Resources Research
Beijing, China
5 h-index
11 publications
1.1K citations
Wageningen University & Research
Wageningen, The Netherlands
5 h-index
13 publications
692 citations
Gembloux Agro-Bio Tech
Gembloux, Belgium
4 h-index
6 publications
176 citations
Agriculture and Agri-Food Canada
Ottawa, Canada
4 h-index
8 publications
228 citations
Natural Resources Institute Finland
Helsinki, Finland
3 h-index
3 publications
71 citations
Beijing Normal University
Beijing, China
3 h-index
14 publications
2.2K citations
Agriculture and Food
Canberra, Australia
3 h-index
8 publications
146 citations
1–8 of 172
Venues
- Remote Sensing
7 publications · 299 citations
7
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- Agricultural and Forest Meteorology
6 publications · 1K citations
6
h-index
- Agronomy Journal
5 publications · 293 citations
5
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- Computers and Electronics in Agriculture
4 publications · 203 citations
4
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- International Journal of Remote Sensing
3 publications · 226 citations
3
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1–5