Joel Paz
Joel Paz
Professor, Agricultural and Biological Engineering, Mississippi State University
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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
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
Model-based technique to determine variable rate nitrogen for corn
JO Paz, WD Batchelor, BA Babcock, TS Colvin, SD Logsdon, TC Kaspar, ...
Agricultural systems 61 (1), 69-75, 1999
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
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
JO Paz, WD Batchelor, TS Colvin, SD Logsdon, TC Kaspar, DL Karlen
Transactions of the ASAE 41 (5), 1527, 1998
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
The use of NARX neural networks to forecast daily groundwater levels
SM Guzman, JO Paz, MLM Tagert
Water Resources Management 31 (5), 1591-1603, 2017
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
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
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 (1), 151-159, 2011
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
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
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
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
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
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
A web-based fuzzy expert system for frost warnings in horticultural crops
RF Chevalier, G Hoogenboom, RW McClendon, JO Paz
Environmental Modelling & Software 35, 84-91, 2012
Estimating irrigation water use for maize in the Southeastern USA: A modeling approach
MR Salazar, JE Hook, AG y Garcia, JO Paz, B Chaves, G Hoogenboom
Agricultural Water Management 107, 104-111, 2012
Cotton yields as influenced by ENSO at different planting dates and spatial aggregation levels
JO Paz, P Woli, AG y Garcia, G Hoogenboom
Agricultural Systems 111, 45-52, 2012
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