Coupling machine learning and crop modeling improves crop yield prediction in the US Corn Belt by Mohsen Shahhosseini, Guiping Hu, Isaiah Huber, Sotirios V. Archontoulis

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Modeling Flood-Induced Stress in Soybeans by Heather R. Pasley, Isaiah Huber, Michael J. Castellano, Sotirios V. Archontoulis

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A time-dependent parameter estimation framework for crop modeling by Faezeh Akhavizadegan, Javad Ansarifar, Lizhi Wang, Isaiah Huber, Sotirios V. Archontoulis

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County-scale crop yield prediction by integrating crop simulation with machine learning models by Saiara Samira Sajid, Mohsen Shahhosseini, Isaiah Huber, Guiping Hu, Sotirios V. Archontoulis

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Quantifying the effects of varietal types × management on the spatial variability of sorghum biomass across US environments by Jonathan J. Ojeda, Graeme Hammer, Kai‐Wei Yang, Mitchell R. Tuinstra, Peter deVoil, Greg McLean, Isaiah Huber, Jeffrey J. Volenec, Sylvie M. Brouder, Sotirios Archontoulis, Scott C. Chapman

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Climate change shifts forward flowering and reduces crop waterlogging stress by Ke Liu, Matthew Tom Harrison, Sotirios V Archontoulis, Neil Huth, Rui Yang, De Li Liu, Haoliang Yan, Holger Meinke, Isaiah Huber, Puyu Feng, Ahmed Ibrahim, Yunbo Zhang, Xiaohai Tian, Meixue Zhou

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