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Sotirios V. Archontoulis
Sotirios V. Archontoulis
Professor, Department of Agronomy, Iowa State University
Email verificata su iastate.edu - Home page
Titolo
Citata da
Citata da
Anno
Nonlinear regression models and applications in agricultural research
SV Archontoulis, FE Miguez
Agronomy Journal 107 (2), 786-798, 2015
6272015
A CNN-RNN framework for crop yield prediction
S Khaki, L Wang, SV Archontoulis
Frontiers in Plant Science 10, 1750, 2020
5682020
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
5222017
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
4122016
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), 1606, 2021
3352021
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
2602016
Forecasting corn yield with machine learning ensembles
M Shahhosseini, G Hu, SV Archontoulis
Frontiers in Plant Science 11, 1120, 2020
2372020
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
2242007
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
2232018
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
2002019
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
1932014
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
1752016
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
1692019
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
1662017
Silver lining to a climate crisis in multiple prospects for alleviating crop waterlogging under future climates
K Liu, MT Harrison, H Yan, DL Liu, H Meinke, G Hoogenboom, B Wang, ...
Nature communications 14 (1), 765, 2023
1652023
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
1632014
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
1552016
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
1512019
Sustainable intensification of agricultural drainage
MJ Castellano, SV Archontoulis, MJ Helmers, HJ Poffenbarger, J Six
Nature sustainability 2 (10), 914-921, 2019
1502019
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
1482020
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