| Examples of strategies to analyze spatial and temporal yield variability using crop models WD Batchelor, B Basso, JO Paz European Journal of Agronomy 18 (1-2), 141-158, 2002 | 333 | 2002 |
| AgClimate: A climate forecast information system for agricultural risk management in the southeastern USA CW Fraisse, NE Breuer, D Zierden, JG Bellow, J Paz, VE Cabrera, ... Computers and electronics in agriculture 53 (1), 13-27, 2006 | 256 | 2006 |
| Methodology for the use of DSSAT models for precision agriculture decision support KR Thorp, KC DeJonge, AL Kaleita, WD Batchelor, JO Paz Computers and electronics in agriculture 64 (2), 276-285, 2008 | 216 | 2008 |
| Model‐based technique to determine variable rate nitrogen for corn JO Paz, WD Batchelor, TS Colvin, SD Logsdon, TC Kaspar, DL Karlen, ... Proceedings of the Fourth International Conference on Precision Agriculture …, 1999 | 196 | 1999 |
| Forecast skill and farmers’ skills: Seasonal climate forecasts and agricultural risk management in the southeastern United States TA Crane, C Roncoli, J Paz, N Breuer, K Broad, KT Ingram, ... Weather, Climate, and Society 2 (1), 44-59, 2010 | 175 | 2010 |
| The use of NARX neural networks to forecast daily groundwater levels SM Guzman, JO Paz, MLM Tagert Water resources management 31, 1591-1603, 2017 | 168 | 2017 |
| Tools for optimizing management of spatially-variable fields HWG Booltink, BJ Van Alphen, WD Batchelor, JO Paz, JJ Stoorvogel, ... Agricultural Systems 70 (2-3), 445-476, 2001 | 137 | 2001 |
| ANALYSIS OFWATER STRESS EFFECTS CAUSING SPATIAL YIELD VARIABILITY IN SOYBEANS JO Paz, WD Batchelor, TS Colvin, SD Logsdon, TC Kaspar, DL Karlen Transactions of the ASAE 41 (5), 1527-1534, 1998 | 133 | 1998 |
| Support vector regression with reduced training sets for air temperature prediction: a comparison with artificial neural networks RF Chevalier, G Hoogenboom, RW McClendon, JA Paz Neural Computing and Applications 20, 151-159, 2011 | 114 | 2011 |
| Development and application of process-based simulation models for cotton production: A review of past, present, and future directions KR Thorp, S Ale, MP Bange, EM Barnes, G Hoogenboom, RJ Lascano, ... Journal of Cotton Science 18 (1), 10-47, 2014 | 112 | 2014 |
| Evaluation of Seasonally Classified Inputs for the Prediction of Daily Groundwater Levels: NARX Networks Vs Support Vector Machines SM Guzman, JO Paz, MLM Tagert, AE Mercer Environmental Modeling & Assessment 24 (2), 223–234, 2019 | 105 | 2019 |
| Remote sensing and geospatial technological applications for site-specific management of fruit and nut crops: A review SS Panda, G Hoogenboom, JO Paz Remote Sensing 2 (8), 1973-1997, 2010 | 100 | 2010 |
| Evaluating management zone optimal nitrogen rates with a crop growth model Y Miao, DJ Mulla, WD Batchelor, JO Paz, PC Robert, M Wiebers Agronomy journal 98 (3), 545-553, 2006 | 97 | 2006 |
| Artificial neural network model as a data analysis tool in precision farming A Irmak, JW Jones, WD Batchelor, S Irmak, KJ Boote, JO Paz Transactions of the ASABE 49 (6), 2027-2037, 2006 | 93 | 2006 |
| Maize ethanol feedstock production and net energy value as affected by climate variability and crop management practices T Persson, AG y Garcia, J Paz, J Jones, G Hoogenboom Agricultural Systems 100 (1-3), 11-21, 2009 | 91 | 2009 |
| Estimating spatially variable soil properties for application of crop models in precision farming A Irmak, JW Jones, WD Batchelor, JO Paz Transactions of the ASAE 44 (5), 1343, 2001 | 79 | 2001 |
| A modeling approach to quantify the effects of spatial soybean yield limiting factors JO Paz, WD Batchelor, GL Tylka, RG Hartzler Transactions of the ASAE 44 (5), 1329, 2001 | 79 | 2001 |
| Evaluation and analysis of temperature for historical (1996–2015) and projected (2030–2060) climates in Pakistan using SimCLIM climate model: ensemble application A Amin, W Nasim, S Fahad, S Ali, S Ahmad, A Rasool, N Saleem, ... Atmospheric Research 213, 422-436, 2018 | 71 | 2018 |
| Development of an ENSO-based irrigation decision support tool for peanut production in the southeastern US JO Paz, CW Fraisse, LU Hatch, AG y Garcia, LC Guerra, O Uryasev, ... Computers and electronics in agriculture 55 (1), 28-35, 2007 | 62 | 2007 |
| Distinguishing blueberry bushes from mixed vegetation land use using high resolution satellite imagery and geospatial techniques SS Panda, G Hoogenboom, J Paz Computers and Electronics in Agriculture 67 (1-2), 51-58, 2009 | 57 | 2009 |
Gerrit HoogenboomGlobal Food Systems Institute & Agricultural & Biological Engineering, University of FloridaVerified email at ufl.edu
