Search Results - "Archontoulis, Sotirios V"

A CNN-RNN Framework for Crop Yield Prediction by Khaki, Saeed, Wang, Lizhi, Archontoulis, Sotirios V

“…Crop yield prediction is extremely challenging due to its dependence on multiple factors such as crop genotype, environmental factors, management practices,…”
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Coupling machine learning and crop modeling improves crop yield prediction in the US Corn Belt by Shahhosseini, Mohsen, Hu, Guiping, Huber, Isaiah, Archontoulis, Sotirios V.

“…This study investigates whether coupling crop modeling and machine learning (ML) improves corn yield predictions in the US Corn Belt. The main objectives are…”
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Forecasting Corn Yield With Machine Learning Ensembles by Shahhosseini, Mohsen, Hu, Guiping, Archontoulis, Sotirios V.

“…The emergence of new technologies to synthesize and analyze big data with high-performance computing has increased our capacity to more accurately predict crop…”
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An interaction regression model for crop yield prediction by Ansarifar, Javad, Wang, Lizhi, Archontoulis, Sotirios V.

“…Crop yield prediction is crucial for global food security yet notoriously challenging due to multitudinous factors that jointly determine the yield, including…”
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Maize yield and nitrate loss prediction with machine learning algorithms by Shahhosseini, Mohsen, Martinez-Feria, Rafael A, Hu, Guiping, Archontoulis, Sotirios V

“…Pre-growing season prediction of crop production outcomes such as grain yields and nitrogen (N) losses can provide insights to farmers and agronomists to make…”
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Corn Yield Prediction With Ensemble CNN-DNN by Shahhosseini, Mohsen, Hu, Guiping, Khaki, Saeed, Archontoulis, Sotirios V.

“…We investigate the predictive performance of two novel CNN-DNN machine learning ensemble models in predicting county-level corn yields across the US Corn Belt…”
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A time-dependent parameter estimation framework for crop modeling by Akhavizadegan, Faezeh, Ansarifar, Javad, Wang, Lizhi, Huber, Isaiah, Archontoulis, Sotirios V.

“…The performance of crop models in simulating various aspects of the cropping system is sensitive to parameter calibration. Parameter estimation is challenging,…”
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Climate change shifts forward flowering and reduces crop waterlogging stress by Liu, Ke, Harrison, Matthew Tom, Archontoulis, Sotirios V, Huth, Neil, Yang, Rui, Liu, De Li, Yan, Haoliang, Meinke, Holger, Huber, Isaiah, Feng, Puyu, Ibrahim, Ahmed, Zhang, Yunbo, Tian, Xiaohai, Zhou, Meixue

“…Abstract Climate change will drive increased frequencies of extreme climatic events. Despite this, there is little scholarly information on the extent to which…”
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Modeling Flood-Induced Stress in Soybeans by Pasley, Heather R, Huber, Isaiah, Castellano, Michael J, Archontoulis, Sotirios V

“…Despite the detrimental impact that excess moisture can have on soybean ( [L.] Merr) yields, most of today's crop models do not capture soybean's dynamic…”
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County-scale crop yield prediction by integrating crop simulation with machine learning models by Sajid, Saiara Samira, Shahhosseini, Mohsen, Huber, Isaiah, Hu, Guiping, Archontoulis, Sotirios V

“…Crop yield prediction is of great importance for decision making, yet it remains an ongoing scientific challenge. Interactions among different genetic,…”
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Soil depth and geographic distance modulate bacterial β‐diversity in deep soil profiles throughout the U.S. Corn Belt by Lopes, Lucas Dantas, Futrell, Stephanie L., Wright, Emily E., Danalatos, Gerasimos J., Castellano, Michael J., Vyn, Tony J., Archontoulis, Sotirios V., Schachtman, Daniel P.

“…Understanding how microbial communities are shaped across spatial dimensions is of fundamental importance in microbial ecology. However, most studies on soil…”
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Maize Leaf Appearance Rates: A Synthesis From the United States Corn Belt by Dos Santos, Caio L, Abendroth, Lori J, Coulter, Jeffrey A, Nafziger, Emerson D, Suyker, Andy, Yu, Jianming, Schnable, Patrick S, Archontoulis, Sotirios V

“…The relationship between collared leaf number and growing degree days (GDD) is crucial for predicting maize phenology. Biophysical crop models convert GDD…”
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Revisiting Biological Nitrogen Fixation Dynamics in Soybeans by Ciampitti, Ignacio A., de Borja Reis, André Froes, Córdova, S. Carolina, Castellano, Michael J., Archontoulis, Sotirios V., Correndo, Adrian A., Antunes De Almeida, Luiz Felipe, Moro Rosso, Luiz H.

“…Biological nitrogen (N) fixation is the most relevant process in soybeans ( Glycine max L.) to satisfy plant N demand and sustain seed protein formation. Past…”
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A Systems Modeling Approach to Forecast Corn Economic Optimum Nitrogen Rate by Puntel, Laila A, Sawyer, John E, Barker, Daniel W, Thorburn, Peter J, Castellano, Michael J, Moore, Kenneth J, VanLoocke, Andrew, Heaton, Emily A, Archontoulis, Sotirios V

“…Historically crop models have been used to evaluate crop yield responses to nitrogen (N) rates after harvest when it is too late for the farmers to make…”
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Climate Change and Management Impacts on Soybean N Fixation, Soil N Mineralization, N2O Emissions, and Seed Yield by Elli, Elvis F., Ciampitti, Ignacio A., Castellano, Michael J., Purcell, Larry C., Naeve, Seth, Grassini, Patricio, La Menza, Nicolas C., Moro Rosso, Luiz, de Borja Reis, André F., Kovács, Péter, Archontoulis, Sotirios V.

“…Limited knowledge about how nitrogen (N) dynamics are affected by climate change, weather variability, and crop management is a major barrier to improving the…”
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Simulated dataset of corn response to nitrogen over thousands of fields and multiple years in Illinois by Mandrini, German, Archontoulis, Sotirios V., Pittelkow, Cameron M., Mieno, Taro, Martin, Nicolas F.

“…Nitrogen (N) fertilizer recommendations for corn (Zea mays L.) in the US Midwest have been a puzzle for several decades, without agreement among stakeholders…”
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Dissecting the nonlinear response of maize yield to high temperature stress with model‐data integration by Zhu, Peng, Zhuang, Qianlai, Archontoulis, Sotirios V., Bernacchi, Carl, Müller, Christoph

“…Evidence suggests that global maize yield declines with a warming climate, particularly with extreme heat events. However, the degree to which important maize…”
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The combined and separate impacts of climate extremes on the current and future US rainfed maize and soybean production under elevated CO2 by Jin, Zhenong, Zhuang, Qianlai, Wang, Jiali, Archontoulis, Sotirios V., Zobel, Zachary, Kotamarthi, Veerabhadra R.

“…Heat and drought are two emerging climatic threats to the US maize and soybean production, yet their impacts on yields are collectively determined by the…”
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Soybean profitability and yield component response to nitrogen fertilizer in Iowa by Córdova, S. Carolina, Archontoulis, Sotirios V., Licht, Mark A.

“…Nitrogen fertilizer application to soybean [Glycine max (L.) Merr.] in Iowa, USA, has shown inconsistent results. We performed a study in central Iowa (2015…”
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Historical increases of maize leaf area index in the US Corn Belt due primarily to plant density increases by Kalogeropoulos, George, Elli, Elvis F., Trifunovic, Slobodan, Archontoulis, Sotirios V.

“…Leaf area index (LAI) and leaf area distribution within the maize plant are important traits used to explain and predict light interception and thus crop…”
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