A methodology and an optimization tool to calibrate phenology of short-day species included in the APSIM PLANT model: Application to soybean. - Sotirios V. Archontoulis; Fernando E. Miguez; Kenneth J. Moore (Environ. Model. Softw., 2014)

Maize Yield and Nitrate Loss Prediction with Machine Learning Algorithms. - Mohsen Shahhosseini; Rafael A. Martinez-Feria; Guiping Hu; Sotirios V. Archontoulis (CoRR, 2019)

A CNN-RNN Framework for Crop Yield Prediction. - Saeed Khaki; Lizhi Wang 002; Sotirios V. Archontoulis (CoRR, 2019)

Forecasting Corn Yield with Machine Learning Ensembles. - Mohsen Shahhosseini; Guiping Hu; Sotirios V. Archontoulis (CoRR, 2020)

Coupling Machine Learning and Crop Modeling Improves Crop Yield Prediction in the US Corn Belt. - Mohsen Shahhosseini; Guiping Hu; Sotirios V. Archontoulis; Isaiah Huber (CoRR, 2020)

Corn Yield Prediction with Ensemble CNN-DNN. - Mohsen Shahhosseini; Guiping Hu; Saeed Khaki; Sotirios V. Archontoulis (CoRR, 2021)

Risk-averse Stochastic Optimization for Farm Management Practices and Cultivar Selection Under Uncertainty. - Faezeh Akhavizadegan; Javad Ansarifar; Lizhi Wang 002; Sotirios V. Archontoulis (CoRR, 2022)