Kendall DeJonge
Kendall DeJonge
USDA-ARS WMSRU
Verified email at ars.usda.gov - Homepage
Title
Cited by
Cited by
Year
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
1182008
Comparison of canopy temperature-based water stress indices for maize
KC DeJonge, S Taghvaeian, TJ Trout, LH Comas
Agricultural Water Management 156, 51-62, 2015
992015
Improving evapotranspiration simulations in the CERES-Maize model under limited irrigation
KC DeJonge, JC Ascough II, AA Andales, NC Hansen, LA Garcia, M Arabi
Agricultural Water Management 115, 92-103, 2012
802012
Global sensitivity and uncertainty analysis of a dynamic agroecosystem model under different irrigation treatments
KC DeJonge, JC Ascough II, M Ahmadi, AA Andales, M Arabi
Ecological Modelling 231, 113-125, 2012
782012
Simulating the effects of spatially variable irrigation on corn yields, costs, and revenue in Iowa
KC DeJonge, AL Kaleita, KR Thorp
Agricultural water management 92 (1-2), 99-109, 2007
662007
Conventional and simplified canopy temperature indices predict water stress in sunflower
S Taghvaeian, L Comas, KC DeJonge, TJ Trout
Agricultural water management 144, 69-80, 2014
472014
Modeling of full and limited irrigation scenarios for corn in a semiarid environment
KC DeJonge, AA Andales, JC Ascough II, NC Hansen
Transactions of the ASABE 54 (2), 481-492, 2011
392011
Evaluation of thermal remote sensing indices to estimate crop evapotranspiration coefficients
EG Kullberg, KC DeJonge, JL Chávez
Agricultural water management 179, 64-73, 2017
382017
Water productivity of maize in the US high plains
TJ Trout, KC DeJonge
Irrigation Science 35 (3), 251-266, 2017
332017
Using cross-validation to evaluate CERES-Maize yield simulations within a decision support system for precision agriculture
KR Thorp, WD Batchelor, JO Paz, AL Kaleita, KC DeJonge
Transactions of the ASABE 50 (4), 1467-1479, 2007
332007
Minimizing instrumentation requirement for estimating crop water stress index and transpiration of maize
S Taghvaeian, JL Chávez, WC Bausch, KC DeJonge, TJ Trout
Irrigation Science 32 (1), 53-65, 2014
302014
Estimating maize water stress by standard deviation of canopy temperature in thermal imagery
M Han, H Zhang, KC DeJonge, LH Comas, TJ Trout
Agricultural Water Management 177, 400-409, 2016
252016
Water productivity under strategic growth stage-based deficit irrigation in maize
LH Comas, TJ Trout, KC DeJonge, H Zhang, SM Gleason
Agricultural water management 212, 433-440, 2019
242019
Implementing standardized reference evapotranspiration and dual crop coefficient approach in the DSSAT cropping system model
KC DeJonge, KR Thorp
Transactions of the ASABE 60 (6), 1965-1981, 2017
162017
Coordinated decline in photosynthesis and hydraulic conductance during drought stress in Zea mays
SM Gleason, DR Wiggans, CA Bliss, LH Comas, M Cooper, KC DeJonge, ...
Flora 227, 1-9, 2017
152017
Crop water use and crop coefficients of maize in the great plains
TJ Trout, KC DeJonge
Journal of Irrigation and Drainage Engineering 144 (6), 04018009, 2018
142018
Leaf temperature of maize and Crop Water Stress Index with variable irrigation and nitrogen supply
DA Carroll, NC Hansen, BG Hopkins, KC DeJonge
Irrigation Science 35 (6), 549-560, 2017
142017
Tracking river flows from space
C Gleason, PA Garambois, M Durand
142017
Sensitivity analysis of reference evapotranspiration to sensor accuracy
KC DeJonge, M Ahmadi, JC Ascough II, KD Kinzli
Computers and Electronics in Agriculture 110, 176-186, 2015
14*2015
Remote sensing for evaluating crop water stress at field scale using infrared thermography: potential and limitations
S Taghvaeian, JL Chávez, J Altenhofen, T Trout, K DeJonge
Hydrology Days 4, 74-83, 2013
142013
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Articles 1–20