An efficient and physics-informed regional maize yield estimation scheme by combining data assimilation and machine learning

2025/11/06 by Danyang Yu, Yuanyuan Zha, Yijian Zeng +6
Agricultural and Biological Sciences · Environmental Science · #Climate change impacts on agriculture #Remote Sensing in Agriculture #Soil Moisture and Remote Sensing

paper · doi:10.1016/j.compag.2025.111142

openalex created_date 2025/11/06 · openalex publication_date 2025/11/06 · openalex updated_date 2026/07/29

Citations

• Factorial Sampling Plans for Preliminary Computational Experiments
• Multilayer feedforward networks are universal approximators
• Irrigation management for spring maize grown on saline soil based on SWAP model
• The ERA5 global reanalysis
• Machine learning for large-scale crop yield forecasting
• Physics-informed machine learning: case studies for weather and climate modelling
• Physics-informed machine learning