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Sotirios V Archontoulis

Showing results (1-10 of 27) with videos related to

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Frontiers in Plant Science|February 11, 2020
A CNN-RNN Framework for Crop Yield PredictionSaeed Khaki, Lizhi Wang, Sotirios V Archontoulis
Frontiers in Plant Science|August 28, 2020
Forecasting Corn Yield With Machine Learning EnsemblesMohsen Shahhosseini, Guiping Hu, Sotirios V Archontoulis
Scientific Reports|September 8, 2021
An interaction regression model for crop yield predictionJavad Ansarifar, Lizhi Wang, Sotirios V Archontoulis
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 31, 2025
Maize breeding enhances lodging resistance through vertical allocation changes of stem dry matter and nitrogenAlejo Ruiz, Agustin Listello, Slobodan Trifunovic, et al.
Frontiers in Plant Science|August 19, 2021
Corn Yield Prediction With Ensemble CNN-DNNMohsen Shahhosseini, Guiping Hu, Saeed Khaki, 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.
Global Change Biology|April 1, 2019
Dissecting the nonlinear response of maize yield to high temperature stress with model-data integrationPeng Zhu, Qianlai Zhuang, Sotirios V Archontoulis, 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.
Pageof 3

Showing results (1-10 of 27) with videos related to

Sort By:
Pageof 3
Frontiers in Plant Science|February 11, 2020
A CNN-RNN Framework for Crop Yield PredictionSaeed Khaki, Lizhi Wang, Sotirios V Archontoulis
Frontiers in Plant Science|August 28, 2020
Forecasting Corn Yield With Machine Learning EnsemblesMohsen Shahhosseini, Guiping Hu, Sotirios V Archontoulis
Scientific Reports|September 8, 2021
An interaction regression model for crop yield predictionJavad Ansarifar, Lizhi Wang, Sotirios V Archontoulis
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 31, 2025
Maize breeding enhances lodging resistance through vertical allocation changes of stem dry matter and nitrogenAlejo Ruiz, Agustin Listello, Slobodan Trifunovic, et al.
Frontiers in Plant Science|August 19, 2021
Corn Yield Prediction With Ensemble CNN-DNNMohsen Shahhosseini, Guiping Hu, Saeed Khaki, 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.
Global Change Biology|April 1, 2019
Dissecting the nonlinear response of maize yield to high temperature stress with model-data integrationPeng Zhu, Qianlai Zhuang, Sotirios V Archontoulis, 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.
Pageof 3