| Nonlinear regression models and applications in agricultural research SV Archontoulis, FE Miguez Agronomy Journal 107 (2), 786-798, 2015 | 549 | 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 | 446 | 2017 |
| A CNN-RNN framework for crop yield prediction S Khaki, L Wang, SV Archontoulis Frontiers in Plant Science 10, 492736, 2020 | 409 | 2020 |
| 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 | 352 | 2016 |
| 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 | 238 | 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 | 216 | 2007 |
| 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 | 214 | 2021 |
| 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 | 193 | 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 | 175 | 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 | 161 | 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 | 160 | 2019 |
| Forecasting corn yield with machine learning ensembles M Shahhosseini, G Hu, SV Archontoulis Frontiers in Plant Science 11, 527890, 2020 | 157 | 2020 |
| 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 | 153 | 2014 |
| 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 | 152 | 2017 |
| 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 | 146 | 2016 |
| 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 | 138 | 2019 |
| 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 | 125 | 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 | 119 | 2020 |
| 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 | 116 | 2016 |
| Sustainable intensification of agricultural drainage MJ Castellano, SV Archontoulis, MJ Helmers, HJ Poffenbarger, J Six Nature sustainability 2 (10), 914-921, 2019 | 113 | 2019 |
Michael J. CastellanoIowa State UniversityDirección de correo verificada de iastate.edu
