Kelly R. Thorp, Ph.D.

2006 Iowa State University, Ames, IA, United States 
Agricultural Engineering, Remote Sensing, Agronomy Agriculture
"Kelly Thorp"


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Brian Steward grad student 2006 Iowa State
 (Integration of remote sensing and crop growth modeling for nitrogen management decision support in corn.)
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Pauli D, Andrade-Sanchez P, Carmo-Silva AE, et al. (2016) Field-Based High-Throughput Plant Phenotyping Reveals the Temporal Patterns of Quantitative Trait Loci Associated with Stress-Responsive Traits in Cotton. G3 (Bethesda, Md.)
Thorp KR, Wang G, Badaruddin M, et al. (2016) Lesquerella seed yield estimation using color image segmentation to track flowering dynamics in response to variable water and nitrogen management Industrial Crops and Products. 86: 186-195
Chu Q, Liu J, Bali K, et al. (2016) Automated thinning increases uniformity of in-row spacing and plant size in romaine lettuce Horttechnology. 26: 12-19
Cendrero-Mateo MP, Moran MS, Papuga SA, et al. (2015) Plant chlorophyll fluorescence: active and passive measurements at canopy and leaf scales with different nitrogen treatments. Journal of Experimental Botany
Groenendyk DG, Ferré TP, Thorp KR, et al. (2015) Hydrologic-Process-Based Soil Texture Classifications for Improved Visualization of Landscape Function. Plos One. 10: e0131299
Modala NR, Ale S, Rajan N, et al. (2015) Evaluation of the CSM-CROPGRO-cotton model for the Texas rolling plains region and simulation of deficit irrigation strategies for increasing water use efficiency Transactions of the Asabe. 58: 685-696
French AN, Hunsaker DJ, Thorp KR. (2015) Remote sensing of evapotranspiration over cotton using the TSEB and METRIC energy balance models Remote Sensing of Environment. 158: 281-294
Thorp KR, Gore MA, Andrade-Sanchez P, et al. (2015) Proximal hyperspectral sensing and data analysis approaches for field-based plant phenomics Computers and Electronics in Agriculture. 118: 225-236
Thorp KR, Hunsaker DJ, French AN, et al. (2015) Integrating geospatial data and cropping system simulation within a geographic information system to analyze spatial seed cotton yield, water use, and irrigation requirements Precision Agriculture. 16: 532-557
Wang G, Bronson KF, Thorp KR, et al. (2014) Multiple leaf measurements improve effectiveness of chlorophyll meter for durum wheat nitrogen management Crop Science. 54: 817-826
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