Maize Yield and Nitrate Loss Prediction with Machine Learning Algorithms

@article{Shahhosseini2019MaizeYA,
  title={Maize Yield and Nitrate Loss Prediction with Machine Learning Algorithms},
  author={Mohsen Shahhosseini and Rafael A. Martinez-Feria and Guiping Hu and Sotirios V. Archontoulis},
  journal={ArXiv},
  year={2019},
  volume={abs/1908.06746}
}
Pre-season prediction of crop production outcomes such as grain yields and N losses can provide insights to stakeholders when making decisions. Simulation models can assist in scenario planning, but their use is limited because of data requirements and long run times. Thus, there is a need for more computationally expedient approaches to scale up predictions. We evaluated the potential of five machine learning (ML) algorithms as meta-models for a cropping systems simulator (APSIM) to inform… 

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