Funder
European Research Council Synergy
Basic Research Program of the National Research University Higher School of Economics
Subject
Atmospheric Science,Agronomy and Crop Science,Global and Planetary Change,Forestry
Cited by
95 articles.
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1. Integrating data assimilation, crop model, and machine learning for winter wheat yield forecasting in the North China Plain;Agricultural and Forest Meteorology;2024-03
2. Integrating Data Envelopment Analysis and Machine Learning Approaches for Energy Optimization, Decreased Carbon Footprints, and Wheat Yield Prediction Across North-Western India;Journal of Soil Science and Plant Nutrition;2024-02-02
3. Modeling the Spatial Distribution of Population Based on Random Forest and Parameter Optimization Methods: A Case Study of Sichuan, China;Applied Sciences;2024-01-03
4. Mechanisms and modelling approaches for excessive rainfall stress on cereals: Waterlogging, submergence, lodging, pests and diseases;Agricultural and Forest Meteorology;2024-01
5. The statistical emulators of GGCMI phase 2: responses of year-to-year variation of crop yield to CO2, temperature, water, and nitrogen perturbations;Geoscientific Model Development;2023-12-12