The Prediction of Wheat Yield in the North China Plain by Coupling Crop Model with Machine Learning Algorithms
importance 7/10
solved
Climate change impacts on agriculture agriculture stage: research
Problem
Accurately predicting wheat yield in the North China Plain to support regional food security.
Why it matters
Accurate yield forecasts help secure food supply in a major wheat-growing region.
What the AI did
A random forest model combined APSIM-simulated accumulated biomass and multiple climate indices to predict wheat yield, outperforming other regression algorithms.
Results
At SM stage: r = 0.86, RMSE = 683 kg ha−1, MAE = 498 kg ha−1; RF outperformed other regression algorithms.
Impact
Demonstrated a practical yield-prediction model for the North China Plain with quantified accuracy.
Record
| Venue | Agriculture |
|---|---|
| Published | 2022 |
| Work type | article |
| Authors | Yanxi Zhao, Dengpan Xiao, Huizi Bai, Jianzhao Tang, De Li Liu, Yongqing Qi, Yanjun Shen |
| Citations | 33 (OpenAlex, at import time) |
| References | 98 |
| Model or method | Random Forest (RF) |
| Organization | not stated in source |
| Primary source | https://doi.org/10.3390/agriculture13010099 |
| Open access | gold |
| Keywords | wheat yield, random forest, APSIM, crop model, climate indices, North China Plain |
Importance rating
7
significant — thousands to millions affected
Abstract states accurate crop yield prediction is conducive to regional/national food security; the North China Plain is a major wheat-growing region.
More in Climate & Environment
| # | Paper | Year | Citations | Importance |
|---|---|---|---|---|
| 1 | Learning skillful medium-range global weather forecasting | 2023 | 1,416 |
8
|
| 2 | Accurate medium-range global weather forecasting with 3D neural networks | 2023 | 1,631 |
8
|
| 3 | FuXi: a cascade machine learning forecasting system for 15-day global weather forecast | 2023 | 355 |
8
|
| 4 | Skilful nowcasting of extreme precipitation with NowcastNet | 2023 | 451 |
8
|
| 5 | Forecasting Renewable Energy Generation with Machine Learning and Deep Learning: Current Advances and Future Prospects | 2023 | 378 |
8
|