|Field-based phenomics for plant genetics research|
JW White, P Andrade-Sanchez, MA Gore, KF Bronson, TA Coffelt, ...
Field Crops Research 133, 101-112, 2012
|Advances in greenhouse automation and controlled environment agriculture: A transition to plant factories and urban agriculture|
R R Shamshiri, F Kalantari, KC Ting, KR Thorp, IA Hameed, C Weltzien, ...
ABE Publishing, 2018
|Development and evaluation of a field-based high-throughput phenotyping platform|
P Andrade-Sanchez, MA Gore, JT Heun, KR Thorp, AE Carmo-Silva, ...
Functional Plant Biology 41 (1), 68-79, 2013
|Review of optimum temperature, humidity, and vapour pressure deficit for microclimate evaluation and control in greenhouse cultivation of tomato: a review|
RR Shamshiri, JW Jones, KR Thorp, D Ahmad, HC Man, S Taheri
International agrophysics 32 (2), 287-302, 2018
|A review on remote sensing of weeds in agriculture|
KR Thorp, LF Tian
Precision Agriculture 5 (5), 477-508, 2004
|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
|Remote sensing of evapotranspiration over cotton using the TSEB and METRIC energy balance models|
AN French, DJ Hunsaker, KR Thorp
Remote Sensing of Environment 158, 281-294, 2015
|Interactive effects of nitrogen fertilization and irrigation on grain yield, canopy temperature, and nitrogen use efficiency in overhead sprinkler-irrigated durum wheat|
J Mon, KF Bronson, DJ Hunsaker, KR Thorp, JW White, AN French
Field Crops Research 191, 54-65, 2016
|Plant chlorophyll fluorescence: active and passive measurements at canopy and leaf scales with different nitrogen treatments|
MP Cendrero-Mateo, MS Moran, SA Papuga, KR Thorp, L Alonso, ...
Journal of Experimental Botany 67 (1), 275-286, 2016
|Assimilating remote sensing observations of leaf area index and soil moisture for wheat yield estimates: An observing system simulation experiment|
GS Nearing, WT Crow, KR Thorp, MS Moran, RH Reichle, HV Gupta
Water Resources Research 48 (5), 2012
|Simulating future climate change impacts on seed cotton yield in the Texas High Plains using the CSM-CROPGRO-Cotton model|
P Adhikari, S Ale, JP Bordovsky, KR Thorp, NR Modala, N Rajan, ...
Agricultural Water Management 164, 317-330, 2016
|Field-based high-throughput plant phenotyping reveals the temporal patterns of quantitative trait loci associated with stress-responsive traits in cotton|
D Pauli, P Andrade-Sanchez, AE Carmo-Silva, E Gazave, AN French, ...
G3: Genes, Genomes, Genetics 6 (4), 865-879, 2016
|Estimating crop biophysical properties from remote sensing data by inverting linked radiative transfer and ecophysiological models|
KR Thorp, G Wang, AL West, MS Moran, KF Bronson, JW White, J Mon
Remote Sensing of Environment 124, 224-233, 2012
|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
|Hydrologic-process-based soil texture classifications for improved visualization of landscape function|
DG Groenendyk, TPA Ferre, KR Thorp, AK Rice
PloS one 10 (6), e0131299, 2015
|Simulating long-term effects of nitrogen fertilizer application rates on corn yield and nitrogen dynamics|
KR Thorp, RW Malone, DB Jaynes
Transactions of the ASABE 50 (4), 1287-1303, 2007
|Simulating long-term impacts of winter rye cover crop on hydrologic cycling and nitrogen dynamics for a corn-soybean crop system|
Z Qi, MJ Helmers, RW Malone, KR Thorp
Transactions of the ASABE 54 (5), 1575-1588, 2011
|Cover crops in the upper midwestern United States: Simulated effect on nitrate leaching with artificial drainage|
RW Malone, DB Jaynes, TC Kaspar, KR Thorp, E Kladivko, L Ma, ...
Journal of soil and water conservation 69 (4), 292-305, 2014
|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
|Hyperspectral data mining to identify relevant canopy spectral features for estimating durum wheat growth, nitrogen status, and grain yield|
KR Thorp, G Wang, KF Bronson, M Badaruddin, J Mon
Computers and Electronics in Agriculture 136, 1-12, 2017