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Isaiah Huber

Showing results (1-10 of 6) with videos related to

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Scientific Reports|January 16, 2021
Coupling machine learning and crop modeling improves crop yield prediction in the US Corn BeltMohsen Shahhosseini, Guiping Hu, Isaiah Huber, et al.
Frontiers in Plant Science|March 3, 2020
Modeling Flood-Induced Stress in SoybeansHeather R Pasley, Isaiah Huber, Michael J Castellano, et al.
Scientific Reports|June 2, 2021
A time-dependent parameter estimation framework for crop modelingFaezeh Akhavizadegan, Javad Ansarifar, Lizhi Wang, et al.
Proceedings of the National Academy of Sciences of the United States of America|August 26, 2024
Observational evidence for groundwater influence on crop yields in the United StatesJillian M Deines, Sotirios V Archontoulis, Isaiah Huber, et al.
Frontiers in Plant Science|December 15, 2022
County-scale crop yield prediction by integrating crop simulation with machine learning modelsSaiara Samira Sajid, Mohsen Shahhosseini, Isaiah Huber, et al.
The Science of the Total Environment|December 7, 2021
Crop traits enabling yield gains under more frequent extreme climatic eventsHaoliang Yan, Matthew Tom Harrison, Ke Liu, et al.
Pageof 1

Showing results (1-10 of 6) with videos related to

Sort By:
Pageof 1
Scientific Reports|January 16, 2021
Coupling machine learning and crop modeling improves crop yield prediction in the US Corn BeltMohsen Shahhosseini, Guiping Hu, Isaiah Huber, et al.
Frontiers in Plant Science|March 3, 2020
Modeling Flood-Induced Stress in SoybeansHeather R Pasley, Isaiah Huber, Michael J Castellano, et al.
Scientific Reports|June 2, 2021
A time-dependent parameter estimation framework for crop modelingFaezeh Akhavizadegan, Javad Ansarifar, Lizhi Wang, et al.
Proceedings of the National Academy of Sciences of the United States of America|August 26, 2024
Observational evidence for groundwater influence on crop yields in the United StatesJillian M Deines, Sotirios V Archontoulis, Isaiah Huber, et al.
Frontiers in Plant Science|December 15, 2022
County-scale crop yield prediction by integrating crop simulation with machine learning modelsSaiara Samira Sajid, Mohsen Shahhosseini, Isaiah Huber, et al.
The Science of the Total Environment|December 7, 2021
Crop traits enabling yield gains under more frequent extreme climatic eventsHaoliang Yan, Matthew Tom Harrison, Ke Liu, et al.
Pageof 1