Sotirios V. Archontoulis
Sotirios V. Archontoulis
Associate Professor, Department of Agronomy, Iowa State University
Verified email at - Homepage
Cited by
Cited by
Nonlinear regression models and applications in agricultural research
SV Archontoulis, FE Miguez
Agronomy Journal 107 (2), 786-798, 2015
Consistent negative response of US crops to high temperatures in observations and crop models
B Schauberger, S Archontoulis, A Arneth, J Balkovic, P Ciais, D Deryng, ...
Nature communications 8 (1), 13931, 2017
Soil water improvements with the long-term use of a winter rye cover crop
AD Basche, TC Kaspar, SV Archontoulis, DB Jaynes, TJ Sauer, TB Parkin, ...
Agricultural Water Management 172, 40-50, 2016
A cnn-rnn framework for crop yield prediction
S Khaki, L Wang, SV Archontoulis
Frontiers in Plant Science 10, 1750, 2020
Potential growth and biomass productivity of Miscanthus× giganteus as affected by plant density and N-fertilization in central Greece
NG Danalatos, SV Archontoulis, I Mitsios
Biomass and Bioenergy 31 (2-3), 145-152, 2007
Simulating long-term impacts of cover crops and climate change on crop production and environmental outcomes in the Midwestern United States
AD Basche, SV Archontoulis, TC Kaspar, DB Jaynes, TB Parkin, ...
Agriculture, Ecosystems & Environment 218, 95-106, 2016
Cereal yield gaps across Europe
R Schils, JE Olesen, KC Kersebaum, B Rijk, M Oberforster, V Kalyada, ...
European Journal of Agronomy 101, 109-120, 2018
Evaluating APSIM maize, soil water, soil nitrogen, manure, and soil temperature modules in the Midwestern United States
SV Archontoulis, FE Miguez, KJ Moore
Agronomy Journal 106 (3), 1025-1040, 2014
A methodology and an optimization tool to calibrate phenology of short-day species included in the APSIM PLANT model: application to soybean
SV Archontoulis, FE Miguez, KJ Moore
Environmental modelling & software 62, 465-477, 2014
Modeling Long-Term Corn Yield Response to Nitrogen Rate and Crop Rotation
L Puntel, J Sawyer, D Barker, R Dietzel, H Poffenbarger, M Castellano, ...
frontiers in plant science 7, 1-18, 2016
Rye cover crop effects on maize: A system-level analysis
RA Martinez-Feria, R Dietzel, M Liebman, MJ Helmers, SV Archontoulis
Field Crops Research 196, 145-159, 2016
Maize yield and nitrate loss prediction with machine learning algorithms
M Shahhosseini, RA Martinez-Feria, G Hu, SV Archontoulis
Environmental Research Letters 14 (12), 124026, 2019
Coupling machine learning and crop modeling improves crop yield prediction in the US Corn Belt
M Shahhosseini, G Hu, I Huber, SV Archontoulis
Scientific reports 11 (1), 1-15, 2021
The combined and separate impacts of climate extremes on the current and future US rainfed maize and soybean production under elevated CO2
Z Jin, Q Zhuang, J Wang, SV Archontoulis, Z Zobel, VR Kotamarthi
Global change biology 23 (7), 2687-2704, 2017
Assessing variation in US soybean seed composition (protein and oil)
Y Assefa, LC Purcell, M Salmeron, S Naeve, SN Casteel, P Kovács, ...
Frontiers in Plant Science 10, 298, 2019
How efficiently do corn‐and soybean‐based cropping systems use water? A systems modeling analysis
R Dietzel, M Liebman, R Ewing, M Helmers, R Horton, M Jarchow, ...
Global change biology 22 (2), 666-681, 2016
Growth and biomass productivity of kenaf (Hibiscus cannabinus, L.) under different agricultural inputs and management practices in central Greece
NG Danalatos, SV Archontoulis
Industrial Crops and Products 32 (3), 231-240, 2010
Nitrogen fertilizer suppresses mineralization of soil organic matter in maize agroecosystems
NK Mahal, WR Osterholz, FE Miguez, HJ Poffenbarger, JE Sawyer, ...
Frontiers in Ecology and Evolution 7, 59, 2019
Predicting crop yields and soil‐plant nitrogen dynamics in the US Corn Belt
SV Archontoulis, MJ Castellano, MA Licht, V Nichols, M Baum, I Huber, ...
Crop Science 60 (2), 721-738, 2020
Forecasting corn yield with machine learning ensembles
M Shahhosseini, G Hu, SV Archontoulis
Frontiers in Plant Science 11, 1120, 2020
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