Nonlinear regression models and applications in agricultural research SV Archontoulis, FE Miguez Agronomy Journal 107 (2), 786-798, 2015 | 602 | 2015 |
A CNN-RNN framework for crop yield prediction S Khaki, L Wang, SV Archontoulis Frontiers in Plant Science 10, 1750, 2020 | 511 | 2020 |
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 | 500 | 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 | 391 | 2016 |
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 | 279 | 2021 |
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 | 256 | 2016 |
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 | 219 | 2007 |
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 | 209 | 2018 |
Forecasting corn yield with machine learning ensembles M Shahhosseini, G Hu, SV Archontoulis Frontiers in Plant Science 11, 1120, 2020 | 208 | 2020 |
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 | 189 | 2019 |
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 | 187 | 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 | 173 | 2016 |
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 | 166 | 2017 |
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 | 161 | 2014 |
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 | 156 | 2019 |
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 | 155 | 2016 |
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 | 149 | 2023 |
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 | 144 | 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 | 141 | 2020 |
Sustainable intensification of agricultural drainage MJ Castellano, SV Archontoulis, MJ Helmers, HJ Poffenbarger, J Six Nature sustainability 2 (10), 914-921, 2019 | 136 | 2019 |