selected publications academic article 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. Hosseinali, F., & Thomasson, J. A. (2018). Variability of fiber friction among cotton varieties: Influence of salient fiber physical metrics. Tribology International. 127, 433-445. Hosseinali, F., & Thomasson, J. A. (2018). Multiscale Frictional Properties of Cotton Fibers: A Review. Fibers. 6(3), 49-49. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. Batz, J., Méndez-Dorado, M., & Thomasson, J. (2016). Imaging for High-Throughput Phenotyping in Energy Sorghum. Journal of Imaging. 2(1), 4-4. 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. 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. 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. 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. 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. 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. 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. 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. Ge, Y., Thomasson, J. A., & Sui, R. (2012). Wireless-and-GPS system for cotton fiber-quality mapping. Precision Agriculture. 13(1), 90-103. 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. 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. 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. Herrman. (2011). Grain Traceability and Its Role in Food Safety. CEREAL FOODS WORLD. 56(4), 157-161. Sui, R. (2011). High-biomass sorghum yield estimate with aerial imagery. Journal of Applied Remote Sensing. 5(1), 053523-053523. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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 webpage Thomasson, J. (2015). Farmers of the future will utilize drones, robots and GPS
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 Automated TERRA Phenotyping System for Genetic Improvement of Energy Crops awarded by United States Department of Energy - (Washington D.C., District of Columbia, United States) 2015 - 2018
investigator on Cotton Classification awarded by United States Department of Agriculture - (Washington D.C., District of Columbia, United States) 2016 - 2017
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
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.
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 Superior Paper Award, conferred by American Society of Agricultural and Biological Engineers - (Saint Joseph, Michigan, United States), 2009
mailing address Texas A&M University Biological & Agricultural Engineering 2117 TAMU College Station, TX 77843-2117 USA