HR job title
- Program Aide
- Contact Info
- 1 979 458 3598
- ORCiD
- 0000-0002-5557-105X
Thomasson, John Professor
Positions
Biomass production; Biomass conversion to liquid fuels/chemicals/electricity; Biomass-based supply chain
- Overview
- Publications
- Research
- Teaching
- Works By Students
- Background
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Overview
Publications
selected publications
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academic article
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Hu, C., Sapkota, B. B., Thomasson, J. A., & Bagavathiannan, M. V.
(2021).
Influence of Image Quality and Light Consistency on the Performance of Convolutional Neural Networks for Weed Mapping. Remote Sensing.
13(11), 2140-2140.
-
Shangguan, L., Thomasson, J. A., & Gopalswamy, S.
(2021).
Motion Planning for Autonomous Grain Carts. IEEE Transactions on Vehicular Technology.
70(3), 2112-2123.
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White, E. L., Thomasson, J. A., Auvermann, B., Kitchen, N. R., Pierson, L. S., Porter, D., ... Werner, F.
(2021).
Report from the conference, ‘identifying obstacles to applying big data in agriculture’. Precision Agriculture.
22(1), 306-315.
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Hu, C., Thomasson, J. A., & Bagavathiannan, M. V.
(2021).
A powerful image synthesis and semi-supervised learning pipeline for site-specific weed detection. Computers and Electronics in Agriculture.
190, 106423-106423.
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Han, X., Thomasson, J. A., Swaminathan, V., Wang, T., Siegfried, J., Raman, R., Rajan, N., & Neely, H.
(2020).
Field-Based Calibration of Unmanned Aerial Vehicle Thermal Infrared Imagery with Temperature-Controlled References. Sensors.
20(24), 7098-7098.
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Park, J., Thomasson, J. A., Gorman, Z., Brewer, M. J., Rooney, W. L., & Kolomiets, M. V.
(2020).
Multivariate analysis of sorghum volatiles for the fast screening of sugarcane aphid infestation. Journal of Asia Pacific Entomology.
23(4), 901-908.
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Wang, T., Thomasson, J. A., Yang, C., Isakeit, T., Nichols, R. L., Collett, R. M., Han, X., & Bagnall, C.
(2020).
Unmanned aerial vehicle remote sensing to delineate cotton root rot. Journal of Applied Remote Sensing.
14(03),
-
Wang, T., Thomasson, J. A., Isakeit, T., Yang, C., & Nichols, R. L.
(2020).
A Plant-by-Plant Method to Identify and Treat Cotton Root Rot Based on UAV Remote Sensing. Remote Sensing.
12(15), 2453-2453.
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Cholula, U., da Silva, J. A., Marconi, T., Thomasson, J. A., Solorzano, J., & Enciso, J.
(2020).
Forecasting Yield and Lignocellulosic Composition of Energy Cane Using Unmanned Aerial Systems. Agronomy.
10(5), 718-718.
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Wang, T., Thomasson, J. A., Yang, C., Isakeit, T., & Nichols, R. L.
(2020).
Automatic Classification of Cotton Root Rot Disease Based on UAV Remote Sensing. Remote Sensing.
12(8), 1310-1310.
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Park, J., Thomasson, J. A., Lee, K., Suh, C., Perez, J. L., & Herrman, T. J.
(2020).
VOCs determination by adsorbent-Raman system in food and botanicals. Analytical Methods: advancing methods and applications.
12(12), 1595-1605.
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Park, J., Thomasson, J. A., Gale, C. C., Sword, G. A., Lee, K., Herrman, T. J., & Suh, C.
(2020).
Adsorbent-SERS Technique for Determination of Plant VOCs from Live Cotton Plants and Dried Teas. ACS Omega.
5(6), 2779-2790.
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Park, J., Thomasson, J. A., Fernando, S., Lee, K., & Herrman, T. J.
(2019).
Complexes Formed by Hydrophobic Interaction between Ag-Nanospheres and Adsorbents for the Detection of Methyl Salicylate VOC. Nanomaterials.
9(11), 1621-1621.
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Han, X., Thomasson, J. A., Xiang, Y., Gharakhani, H., Yadav, P. K., & Rooney, W. L.
(2019).
Multifunctional Ground Control Points with a Wireless Network for Communication with a UAV. Sensors.
19(13), 2852-2852.
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Pugh, N. A., Han, X., Collins, S. D., Thomasson, J. A., Cope, D., Chang, A., ... Rooney, W. L.
(2018).
Estimation of plant health in a sorghum field infected with anthracnose using a fixed-wing unmanned aerial system. Journal of Crop Improvement.
32(6), 861-877.
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Hosseinali, F., & Thomasson, J. A.
(2018).
Variability of fiber friction among cotton varieties: Influence of salient fiber physical metrics. Tribology International.
127, 433-445.
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Hosseinali, F., & Thomasson, J. A.
(2018).
Multiscale Frictional Properties of Cotton Fibers: A Review. Fibers.
6(3), 49-49.
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Yang, C., Odvody, G. N., Thomasson, J. A., Isakeit, T., Minzenmayer, R. R., Drake, D. R., & Nichols, R. L.
(2018).
Site-Specific Management of Cotton Root Rot Using Airborne and High-Resolution Satellite Imagery and Variable-Rate Technology. Transactions of the ASABE.
61(3), 849-858.
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Han, X., Thomasson, J. A., Bagnall, G. C., Pugh, N. A., Horne, D. W., Rooney, W. L., ... Cope, D. A.
(2018).
Measurement and Calibration of Plant-Height from Fixed-Wing UAV Images. Sensors.
18(12), 4092-4092.
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Yao, Y., Ge, Y., Alex Thomasson, J., & Sui, R.
(2018).
Algae optical density sensor for pond monitoring and production process control. INTERNATIONAL JOURNAL OF AGRICULTURAL AND BIOLOGICAL ENGINEERING.
11(1), 212-217.
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Wang, R., Thomasson, J. A., Cox, M. S., Sui, R., & Marley Hollingsworth, E. G.
(2017).
Cotton fiber-quality prediction based on spatial variability in soils. Journal of Cotton Science.
21(3), 220-228.
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Bagnall, G. C., Thomasson, J. A., & Ge, Y.
(2016).
Animal-Drawn Conservation-Tillage Planter Designed for Small Farms in the Developing World. Applied Engineering in Agriculture.
32(6), 931-938.
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Thomasson, J. A., & Valasek, J
(2016).
Small UAS in agricultural remote-sensing research at Texas A&M. Resource: Engineering and Technology for Sustainable World.
23(4), 19-21.
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Woldt, W., Thomasson, J. A., & Valasek, J
(2016).
Special series on unmanned aircraft, part 2: Unmanned aircraft systems: All types and sizes. Resource: Engineering and Technology for Sustainable World.
23(3), 18-19.
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Yang, C., Odvody, G. N., Thomasson, J. A., Isakeit, T., & Nichols, R. L.
(2016).
Change detection of cotton root rot infection over 10-year intervals using airborne multispectral imagery. Computers and Electronics in Agriculture.
123, 154-162.
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Ge, Y., & Thomasson, J. A.
(2016).
NIR Reflectance and MIR Attenuated Total Reflectance Spectroscopy for Characterizing Algal Biomass Composition. Transactions of the ASABE.
59(2), 435-442.
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Song, H., Yang, C., Zhang, J., Hoffmann, W. C., He, D., & Thomasson, J. A.
(2016).
Comparison of mosaicking techniques for airborne images from consumer-grade cameras. Journal of Applied Remote Sensing.
10(1), 016030-016030.
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Shi, Y., Thomasson, J. A., Murray, S. C., Pugh, N. A., Rooney, W. L., Shafian, S., ... Yang, C.
(2016).
Unmanned Aerial Vehicles for High-Throughput Phenotyping and Agronomic Research. PLoS One.
11(7), e0159781-e0159781.
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Schielack, V. P., Thomasson, J. A., Sui, R., & Ge, Y.
(2016).
Harvester-based sensing system for cotton fiber quality mapping. Journal of Cotton Science.
20(4), 386-393.
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Batz, J., Méndez-Dorado, M., & Thomasson, J.
(2016).
Imaging for High-Throughput Phenotyping in Energy Sorghum. Journal of Imaging.
2(1), 4-4.
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Cribben, C. D., Thomasson, J. A., Ge, Y., Morgan, C. L., Yang, C., Isakeit, T., & Nichols, R. L.
(2016).
Plant pathology and nematology: Site-specific relationships between cotton root rot and soil properties. Journal of Cotton Science.
20(1), 67-75.
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Song, H., Yang, C., Zhang, J., He, D., & Thomasson, J. A.
(2015).
Combining fuzzy set theory and nonlinear stretching enhancement for unsupervised classification of cotton root rot. Journal of Applied Remote Sensing.
9(1), 096013-096013.
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Searcy, S. W., Hartley, B. E., & Thomasson, J. A.
(2014).
Evaluation of a Modular System for Low-Cost Transport and Storage of Herbaceous Biomass. BioEnergy Research.
7(3), 824-832.
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Yang, C., Odvody, G. N., Fernandez, C. J., Landivar, J. A., Minzenmayer, R. R., Nichols, R. L., & Thomasson, J. A.
(2014).
Monitoring cotton root rot progression within a growing season using airborne multispectral imagery. Journal of Cotton Science.
18(1), 85-93.
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Ge, Y., Thomasson, J. A., & Morgan, C.
(2014).
Mid-infrared attenuated total reflectance spectroscopy for soil carbon and particle size determination. Geoderma.
213, 57-63.
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Liang, K., Thomasson, J. A., Shen, M. X., Armstrong, P. R., Ge, Y., Lee, K. M., & Herrman, T. J.
(2013).
Ruggedness of 2D code printed on grain tracers for implementing a prospective grain traceability system to the bulk grain delivery system. FOOD CONTROL.
33(2), 359-365.
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Ge, Y., Morgan, C., Thomasson, J. A., & Waiser, T.
(2013).
Anew perspective to near-infrared reflectance spectroscopy: A wavelet approach. Transactions of the ASABE.
50(1), 303-311.
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Liang, K., Thomasson, J. A., Lee, K., Shen, M., Ge, Y., & Herrman, T. J.
(2012).
Printing data matrix code on food-grade tracers for grain traceability. Biosystems Engineering.
113(4), 395-401.
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Ge, Y., Thomasson, J. A., & Sui, R.
(2012).
Wireless-and-GPS system for cotton fiber-quality mapping. Precision Agriculture.
13(1), 90-103.
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Ge, Y., Thomasson, J. A., Sui, R., & Wooten, J.
(2011).
Regression-kriging for characterizing soils with remotesensing data. Frontiers of Earth Science.
5(3), 239-244.
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Ge, Y., Thomasson, J. A., & Sui, R.
(2011).
Remote sensing of soil properties in precision agriculture: A review. Frontiers of Earth Science.
5(3), 229-238.
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Lee, K., Armstrong, P. R., Thomasson, J. A., Sui, R., Casada, M., & Herrman, T. J.
(2011).
Application of binomial and multinomial probability statistics to the sampling design process of a global grain tracing and recall system. FOOD CONTROL.
22(7), 1085-1094.
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Herrman.
(2011).
Grain Traceability and Its Role in Food Safety. CEREAL FOODS WORLD.
56(4), 157-161.
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Sui, R.
(2011).
High-biomass sorghum yield estimate with aerial imagery. Journal of Applied Remote Sensing.
5(1), 053523-053523.
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Sjolander, A. J., Thomasson, J. A., Sui, R., & Ge, Y.
(2011).
Wireless tracking of cotton modules. Part 1: Automatic message triggering. Computers and Electronics in Agriculture.
75(1), 23-33.
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Sjolander, A. J., Thomasson, J. A., Sui, R., & Ge, Y.
(2011).
Wireless tracking of cotton modules. Part 2: Automatic machine identification and system testing. Computers and Electronics in Agriculture.
75(1), 34-43.
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Sui, R., Thomasson, J. A., & Filip To, S. D.
(2010).
Cotton-harvester-flow simulator for testing cotton yield monitors. INTERNATIONAL JOURNAL OF AGRICULTURAL AND BIOLOGICAL ENGINEERING.
3(1), 44-49.
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Sui, R., Thomasson, J. A., Byler, R. K., Clif Boykin, J., & Barnes, E. M.
(2010).
Engineering and ginning: Effect of machine-fiber interaction on cotton fiber quality and foreign-matter particle attachment to fiber. Journal of Cotton Science.
14(3), 145-153.
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Lee, K., Armstrong, P. R., Thomasson, J. A., Sui, R., Casada, M., & Herrman, T. J.
(2010).
Development and characterization of food-grade tracers for the global grain tracing and recall system. J Agric Food Chem.
58(20), 10945-10957.
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Ge, Y., Thomasson, J. A., Sui, R., & Morgan, C.
(2009).
A module-specific post-processing calibration method to improve cotton yield mapping. Computers and Electronics in Agriculture.
68(2), 161-167.
-
Thomasson, J. A., & Sui, R.
(2009).
Cotton leaf reflectance changes after removal from the plant. Journal of Cotton Science.
13(3), 206-211.
-
Thomasson, J. A., Manickavasagam, S., & Meng, M. P.
(2009).
Cotton fiber quality characterization with light scattering and fourier transform infrared techniques. APPLIED SPECTROSCOPY.
-
Wei, L., Thomasson, J. A., Bricka, R. M., Sui, R., Wooten, J. R., & Columbus, E. P.
(2009).
SYN-GAS QUALITY EVALUATION FOR BIOMASS GASIFICATION WITH A DOWNDRAFT GASIFIER. Transactions of the ASABE.
52(1), 21-37.
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Sui, R., Thornasson, J. A., Ge, Y., & Morgan, C.
(2008).
MULTISPECTRAL SENSOR FOR IN-SITU COTTON FIBER QUALITY MEASUREMENT. Transactions of the ASABE.
51(6), 2201-2208.
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Ge, Y., Thomasson, J. A., Sui, R., Morgan, C. L., Searcy, S. W., & Parnell, C. B.
(2008).
Spatial variation of fiber quality and associated loan rate in a dryland cotton field. Precision Agriculture.
9(4), 181-194.
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Sui, R., Thomasson, J. A., Hanks, J., & Wooten, J.
(2008).
Ground-based sensing system for weed mapping in cotton. Computers and Electronics in Agriculture.
60(1), 31-38.
-
Ge, Y., Thomasson, J. A., Morgan, C. L., & Searcy, S. W.
(2007).
VNIR diffuse reflectance spectroscopy for agricultural soil property determination based on regression-kriging. Transactions of the ASABE.
50(3), 1081-1092.
-
Ge, Y., Morgan, C., Thomasson, J. A., & Waiser, T.
(2007).
A new perspective to near-infrared reflectance spectroscopy: A wavelet approach. Transactions of the ASABE.
50(1), 303-311.
-
Zhai, Y., Thomasson, J. A., Boggess, J. E., & Sui, R.
(2006).
Soil texture classification with artificial neural networks operating on remote sensing data. Computers and Electronics in Agriculture.
54(2), 53-68.
-
Sui, R., & Thomasson, J. A.
(2006).
Ground-based sensing system for cotton nitrogen status determination. Transactions of the ASABE.
49(6), 1983-1991.
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Thomasson, J. A., Sui, R., Wright, G. C., & Robson, A. J.
(2006).
Optical peanut yield monitor: Development and testing. Applied Engineering in Agriculture.
22(6), 809-818.
-
Ge, Y., & Thomasson, J. A.
(2006).
Wavelet incorporated spectral analysis for soil property determination. Transactions of the ASABE.
49(4), 1193-1201.
-
Iqbal, J., Thomasson, J. A., Jenkins, J. N., Owens, P. R., & Whisler, F. D.
(2005).
Spatial Variability Analysis of Soil Physical Properties of Alluvial Soils. Soil Science Society of America Journal.
69(4), 1338-1350.
-
Thomasson, J. A., Shearer, S. A., & Byler, R. K.
(2005).
Image-processing solution to cotton color measurement problems: Part I. Instrument design and construction. Transactions of the ASABE.
48(2), 421-438.
-
Thomasson, J. A., Shearer, S. A., & Boykin, D. L.
(2005).
Image-processing solution to cotton color measurement problems: Part II. Instrument test and evaluation. Transactions of the ASABE.
48(2), 439-454.
-
Hu, C., Sapkota, B. B., Thomasson, J. A., & Bagavathiannan, M. V.
(2021).
Influence of Image Quality and Light Consistency on the Performance of Convolutional Neural Networks for Weed Mapping. Remote Sensing.
13(11), 2140-2140.
-
conference paper
-
Humpal, J., McCarthy, C., Percy, C., & Thomasson, J. A.
(2020).
Detection of crown rot in wheat utilising near-infrared spectroscopy: towards remote and robotic sensing. 35th European Mask and Lithography Conference (EMLC 2019).
114140l-114140l-7.
-
Thomasson, J. A., & Han, X.
(2020).
The future of cooperative air and ground phenotyping. 35th European Mask and Lithography Conference (EMLC 2019).
114140m-114140m-8.
-
Wang, T., & Thomasson, J. A.
(2019).
Plant-by-plant level classifications of cotton root rot by UAV remote sensing. 35th European Mask and Lithography Conference (EMLC 2019).
110080n-110080n-5.
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Yadav, P. K., Thomasson, J. A., Enciso, J., Samanta, S., & Shrestha, A.
(2019).
Assessment of different image enhancement and classification techniques in detection of volunteer cotton using UAV remote sensing. 35th European Mask and Lithography Conference (EMLC 2019).
110080m-110080m-14.
-
Han, X., & Thomasson, J. A.
(2019).
Coordination and control for automatic mobile ground control points in agricultural remote sensing. 35th European Mask and Lithography Conference (EMLC 2019).
110080b-110080b-6.
-
Thomasson, J. A., Han, X., Bagnall, C., Sima, C., Shi, Y., Rooney, W., ... Chang, A.
(2019).
UAV data reliability improvements based on multifunctional GCPs. 35th European Mask and Lithography Conference (EMLC 2019).
110080a-110080a-9.
-
Bagnall, C., Thomasson, J. A., Sima, C., & Yang, C.
(2018).
Quality assessment of radiometric calibration of UAV image mosaics. 35th European Mask and Lithography Conference (EMLC 2019).
1066404.
-
Han, X., Thomasson, J. A., Bagnall, C., Rooney, W. L., Pugh, N. A., Horne, D. W., ... Cope, D. A.
(2018).
Calibrated plant height estimates with structure from motion from fixed-wing UAV images. 35th European Mask and Lithography Conference (EMLC 2019).
106640d.
-
(2018).
Disease detection and mitigation in a cotton crop with UAV remote sensing. 35th European Mask and Lithography Conference (EMLC 2019).
106640l.
-
Baillie, C. P., Thomasson, J. A., Lobsey, C. R., McCarthy, C. L., & Antille, D. L.
(2018).
A review of the state of the art in agricultural automation. Part I: Sensing technologies for optimization of machine operation and farm inputs
-
Thomasson, J. A., Baillie, C. P., Antille, D. L., McCarthy, C. L., & Lobsey, C. R.
(2018).
A review of the state of the art in agricultural automation. Part II: On-farm agricultural communications and connectivity
-
Baillie, C. P., Lobsey, C. R., Antille, D. L., McCarthy, C. L., & Thomasson, J. A.
(2018).
A review of the state of the art in agricultural automation. Part III: Agricultural machinery navigation systems
-
Antille, D. L., Lobsey, C. R., McCarthy, C. L., Thomasson, J. A., & Baillie, C. P.
(2018).
A review of the state of the art in agricultural automation. Part IV: Sensor-based nitrogen management technologies
-
Han, X., Thomasson, A., & Xiang, Y.
(2018).
Multifunctional Ground Control Points based on Wireless System Network for UAS Application
-
Shi, Y., Thomasson, J. A., Yang, C., Cope, D., & Sima, C.
(2017).
A case study of comparing radiometrically calibrated reflectance of an image mosaic from unmanned aerial system with that of a single image from manned aircraft over a same area. 35th European Mask and Lithography Conference (EMLC 2019).
102180b-102180b-6.
-
Thomasson, J. A., Shi, Y., Sima, C., Yang, C., & Cope, D. A.
(2017).
Automated geographic registration and radiometric correction for UAV-based mosaics. 35th European Mask and Lithography Conference (EMLC 2019).
102180k-102180k-10.
-
Park, J., Thomasson, J. A., & Lee, K.
(2017).
Volatile Detection from Plant Headspace with Modified Surface-Enhanced Raman Spectroscopy
-
Thomasson, J. A., Shi, Y., Olsenholler, J., Valasek, J., Murray, S. C., & Bishop, M. P.
(2016).
Comprehensive UAV agricultural remote-sensing research at Texas A M University. 35th European Mask and Lithography Conference (EMLC 2019).
986602-986602-7.
-
Shi, Y., Murray, S. C., Rooney, W. L., Valasek, J., Olsenholler, J., Pugh, N. A., ... Thomasson, J. A.
(2016).
Corn and sorghum phenotyping using a fixed-wing UAV-based remote sensing system. 35th European Mask and Lithography Conference (EMLC 2019).
98660e-98660e-8.
-
Murray, S. C., Knox, L., Hartley, B., Mndez-Dorado, M. A., Richardson, G., Thomasson, J. A., ... Rooney, W. L.
(2016).
High clearance phenotyping systems for season-long measurement of corn, sorghum and other row crops to complement unmanned aerial vehicle systems. 35th European Mask and Lithography Conference (EMLC 2019).
986607-986607-8.
-
(2016).
Strategies for soil-based precision agriculture in cotton. 35th European Mask and Lithography Conference (EMLC 2019).
98660k-98660k-7.
-
Ge, Y., Thomasson, J. A., & Korte, M.
(2012).
Algal lipid quantification in-situ with nile red fluorescence. 2501-2506.
-
Ge, Y., Thomasson, J. A., & Morgan, C.
(2011).
Modeling spatial data for precision agriculture and remote sensing. 437-448.
-
Thomasson, J. A., Sui, R., Yao, Y., & Ge, Y.
(2010).
Toward on-line measurement of algal properties. 4406-4413.
-
Thomasson, J. A., Hartley, B. E., Searcy, S. W., Sui, R., Gibson, J. D., & VDI-MEG.
(2009).
Optimizing the logistics of biomass harvest and transport Critical issues and preliminary observations. CONFERENCE: AGRICULTURAL ENGINEERING - LAND-TECHNIK AGENG 2009.
229-237.
-
Ge, Y., Thomasson, J. A., Sui, R., & Sjolander, A. J.
(2008).
Exploring spatial variation of lint yield, fiber quality, gross revenue, and net profitability in a cotton field: A module by module approach. 2706-2715.
-
Sui, R., Thomasson, J. A., Ge, Y., & Morgan, C.
(2008).
Multispectral sensor for in-situ cotton fiber quality measurement. 1446-1459.
-
Thomasson, J. A., Ge, Y., & Sui, R.
(2007).
Information integration between farm and processing facility. 381-388.
-
Ge, Y., Thomasson, J. A., Sui, R., & Wooten, J.
(2007).
A comparison of regression and regression-kriging for soil characterization using remote sensing imagery
-
Ruixiu, S., Thomasson, J. A., & Herrman, T.
(2007).
Development of tracers for grain tracing system
-
Humpal, J., McCarthy, C., Percy, C., & Thomasson, J. A.
(2020).
Detection of crown rot in wheat utilising near-infrared spectroscopy: towards remote and robotic sensing. 35th European Mask and Lithography Conference (EMLC 2019).
114140l-114140l-7.
-
webpage
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Thomasson, J.
(2015).
Farmers of the future will utilize drones, robots and GPS
-
Thomasson, J.
(2015).
Farmers of the future will utilize drones, robots and GPS
Research
principal investigator on
- Integrated Systems Research and Development in Automation and Sensors for Sustainability of Specialty Crops awarded by National Institute of Food and Agriculture - (Washington D.C., District of Columbia, United States) 2019 - 2023
- Detection and Removal of Plastic Contamination of Cotton and Development of Cotton Gin Process Models awarded by Agricultural Research Service - (Washington D.C., District of Columbia, United States) 2018 - 2021
- Detection, identification, and mitigation of feral cotton plants awarded by United States Department of Agriculture - (Washington D.C., District of Columbia, United States) 2019 - 2020
- Identifying obstacles to applying big data to high-resolution decision-making in production agriculture awarded by United States Department of Agriculture - (Washington D.C., District of Columbia, United States) 2018 - 2019
- Texas A&M AgriLife Cooperation for the Detection, Identification and Mitigation of plant pests, pathogens and invasive species. awarded by United States Department of Agriculture - (Washington D.C., District of Columbia, United States) 2016 - 2018
co-principal investigator on
investigator on
Teaching
teaching activities
- AGSM491 Research Instructor
- BAEN370 Meas Ctrl Bio & Ag Proc Instructor
- BAEN375 Des Of Ag Mach & Struc Instructor
- BAEN399 Professional Development Instructor
- BAEN485 Directed Studies Instructor
- BAEN491 Research Instructor
- BAEN684 Professional Internship Instructor
- BAEN691 Research Instructor
Works By Students
chaired theses and dissertations
-
Batz Alvarado, Jose Alejandro (2016-12). Sorghum High-throughput Phenotyping Platform for Greenhouses.
-
Cribben, Curtis D (2013-05). Ground-based Technologies for Cotton Root Rot Control.
-
Hosseinali, Farzad (2018-05). Surface Attributes and Multiscale Frictional Properties of Cotton (Gossypium Hirsutum L.) Fibers.
-
Husin, Nur Azuan Bin (2016-05). Impact of Seed Cotton Compression on Cottonseed Quality.
-
Marley, Elizabeth Grace (2018-08). Non-Invasive Detection of Soil Moisture in Wet Vertisols Using Electrical Resistivity Tomography.
-
Sjolander, Andrew J. (2009-08). Automation of a Wireless Cotton Module Tracking System for Cotton Fiber Quality Mapping.
Background
education and training
- Ph.D. in Agricultural Engineering, University of Kentucky - (Lexington, Kentucky, United States) 1997
- M.S. in Agricultural Engineering, Louisiana State University - (Baton Rouge, Louisiana, United States) 1989
- B.S. in Agricultural Engineering, Texas Tech University - (Lubbock, Texas, United States) 1987
awards and honors
Contact
first name
- John
has last name
- Thomasson
mailing address
-
Texas A&M University
Biological & Agricultural Engineering
2117 TAMU
College Station, TX 77843-2117
USA
Other
- thomasson@tamu.edu