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Joel Paz
Joel Paz
Professor, Agricultural and Biological Engineering, Mississippi State University
Verified email at abe.msstate.edu - Homepage
Title
Cited by
Cited by
Year
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
3312002
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
2532006
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
2102008
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
1921999
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
1652010
The use of NARX neural networks to forecast daily groundwater levels
SM Guzman, JO Paz, MLM Tagert
Water resources management 31, 1591-1603, 2017
1612017
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
1322001
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
1311998
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
1052014
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
1012011
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
972006
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
942006
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
932009
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
902010
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
872019
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
792001
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
792001
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
612007
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
572018
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
562009
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