J. Alex Thomasson

J. Alex Thomasson

Professor, Department Head, and William B. and Sherry Berry Endowed Chair

Agricultural Autonomy, Precision Agriculture, Remote Sensing, Drones, Image Analysis, Optoelectronic Sensors, Cotton Production and Processing
Agricultural and Biological Engineering

Office: 150 Agricultural and Biological Engineering
athomasson@abe.msstate.edu
662.325.3282

Education

Ph.D., Agricultural Engineering, University of Kentucky.
M.S., Agricultural Engineering, Louisiana State University.
B.S., Agricultural Engineering, Texas Tech University.

Experience Record

  • July 2020 – Present, Professor, Department Head, and William B. and Sherry Berry Endowed Chair, Agricultural and Biological Engineering, Mississippi State University, Mississippi State, MS
  • 2005 – 2020, Professor and Endowed Chair of Cotton Engineering, Ginning, and Mechanization, Biological and Agricultural Engineering, Texas A&M University, College Station, TX
  • 1997 – 2004, Assistant/Associate Professor, Agricultural and Biological Engineering, Mississippi State University, Mississippi State, MS
  • 1989 – 1997, Agricultural Engineer/Research Scientist, USDA Agricultural Research Service, Stoneville, MS

Specialty Areas

  • Precision Agriculture
  • Remote Sensing
  • Image Analysis
  • Spectroscopy
  • Drones
  • Optoelectronic Sensors
  • Cotton Production and Processing
  • Instrumentation and Control Systems
  • Design of Machines and Components
  • Bioenergy

Research Interests

  • Agricultural Autonomy and Robotics
  • Optical Sensing Technologies for Agricultural Applications
  • Rural and Remote Broadband Wireless
  • Calibration of Remote Sensing Images Collected with Drones

Publications

Research Publications

  • Thomasson, J. A.  1992.  Recalibration interval for color/trash meters in cotton gins.  Appl. Eng. Agric. 8(2):147-151.
  • Thomasson, J. A.  1993.  Foreign matter effects on cotton color measurement: determination and correction.  Trans. ASAE 36(3):663-669.
  • Thomasson, J. A., C. W. Bennett, B. D. Jackson, and M. P. Mailander.  1994.  Differentiating bottomland tree species with multispectral videography.  Photogram. Eng. Remote Sens. 60:55-59.
  • Thomasson, J. A., and R. A. Taylor.  1995.  Color relationships between lint and seed cotton.  Trans. ASAE 38(1):13-22.
  • Thomasson, J. A., M. P. Menguc, and S. A. Shearer.  1995.  Radiative transfer model for relating NIR and Micronaire measurements of cotton fibers.  Trans. ASAE 38(2):367-377.
  • Thomasson, J. A.  1995.  Cotton moisture measurement with a black-and-white video camera.  Appl. Eng. Agric. 11(3):371-375.
  • Thomasson, J. A., and M. A. Rousselle.  1995.  Device for on-line heat detoxification of cotton in a gin.  Appl. Eng. Agric. 11(4):499-505.
  • Thomasson, J. A., and S. A. Shearer.  1995.  Correlation of NIR data with cotton quality characteristics.  Trans. ASAE 38(4):1005-1010.
  • Thomasson, J. A., and M. H. Willcutt.  1996.  Wetting method for initiating composting in cotton gin waste.  Appl. Eng. Agric. 12(4):417-425.
  • Shearer, S. A., J. A. Thomasson, S. G. McNeill.  1996.  Filter selection for NIR sensing of plant and soil materials.  Trans. ASAE 39(3):1209-1214.
  • Rousselle, M. A., J. B. Price, J. A. Thomasson, and D. T. W. Chun.  1996. Heat treatment of cotton: effect on endotoxin content, fiber and yarn properties, and processability.  Textile Res. J. 66(11):727-738.
  • Thomasson, J. A., D. A. Pennington, H. C. Pringle, E. P. Columbus, S. J. Thomson, and R. K. Byler.  1999.  Cotton mass flow measurement: experiments with two optical devices.  Appl. Eng. Agric. 15(1):11-17.
  • Thomasson, J. A. 1999.  Cotton color instrumentation accuracy: temperature and calibration procedure effects.  Trans. ASAE 42(2):293-307.
  • Thomson, S. J., J. A. Thomasson, and D. P. Whitelock.  1999.  Mass flow assessment of particulate in lint cleaner waste – sensor evaluation and model adaptation.  Trans. ASAE 42(2):513-521.
  • Thomasson, J. A., R. Sui, M. S. Cox, and A. Al-Rajehy.  2001.  Soil reflectance sensing for determining soil properties in precision agriculture.  Trans. ASAE 44(6):1445-1453.
  • Sui, R., and J. A. Thomasson.  2002.  Test of temperature and stray-light effects on mass-flow sensor for cotton yield monitor.  Appl. Eng. Agric. 18(4):127-132.
  • Aslan, M., J. Yamada, M. P. Mengüç, and J. A. Thomasson.  2003.  Characterization of individual cotton fibers via light scattering experiments.  J. Thermophysics & Heat Transfer 17(4):442-450.
  • Thomasson, J. A., and R. Sui.  2003.  Mississippi cotton yield monitor: three years of field test results.  Appl. Eng. Agric. 19(6):631-636.
  • Sui, R., J. A. Thomasson, R. Mehrle, M. Dale, C. Perry, and G. Rains.  2003.  Mississippi cotton yield monitor: beta test for commercialization.  Comput. Electron. Agric. 42:149-160.
  • Thomasson, J. A., S. A. Shearer, and R. K. Byler.  2005.  Image-processing solution to cotton color measurement problems.  Part I: instrument design and construction.  Trans. ASAE 48(2):421-438.
  • Thomasson, J. A., S. A. Shearer, and D. L. Boykin.  2005.  Image-processing solution to cotton color measurement problems.  Part II: instrument test and evaluation.  Trans. ASAE 48(2):439-454.
  • Iqbal, J., J. J. Read, J. A. Thomasson, and J. N. Jenkins.  2005.  Relationships between soil-landscape and dryland cotton lint yield.  Soil Sci. Soc. Am. J. 69:872-882.
  • Iqbal, J., J. A. Thomasson, J. N. Jenkins, P. R. Owens, and F. D. Whisler.  2005.  Spatial variability analysis of soil physical properties of alluvial soils.  Soil Sci. Soc. Am. J. 69(4):1338–1350.
  • Ge, Y., and J. A. Thomasson.  2006.  Wavelet incorporated spectral analysis for soil property determination.  Trans. ASABE 49(4):1193-1201.
  • Thomasson, J. A., R. Sui, G. C. Wright, and A. Robson.  2006.  Optical peanut yield monitor: development and testing.  Appl. Eng. Agric. 22(6):809-818.
  • Zhai, Y., J. A. Thomasson, J. E. Boggess, and R. Sui.  2006.  Soil texture classification with artificial neural networks operating on remote sensing data.  Comput. Electron. Agric. 54(2):53-68.
  • Sui, R., and J. A. Thomasson.  2006.  Ground-based sensing system for cotton nitrogen status determination.  Trans. ASABE 49(6): 1983-1991.
  • Ge, Y., C. L. S. Morgan, and J. A. Thomasson.  2007.  A new perspective to near infrared reflectance spectroscopy: a wavelet approach.  Trans. ASABE 50(1):303-311.
  • Ge, Y., J. A. Thomasson, C. L. S. Morgan, and S. W. Searcy.  2007.  VNIR diffuse reflectance spectroscopy for agricultural soil property determination based on regression kriging.  Trans. ASABE 50(3):1081-1092.
  • Sui, Ruixiu, J. A. Thomasson, J. Hanks, and J. Wooten. 2008. Ground-based sensing system for weed mapping in cotton. Comput. Electron. Agric. 60 (1):31-38.
  • Ge, Y., J. A. Thomasson, R, Sui, C. L. S. Morgan, S. W. Searcy, and C. B. Parnell.  2008.  Spatial variation of fiber quality and associated loan rate in a dryland cotton field.  Precision Agric. 9(4):181-194.
  • Sui, R., J. A. Thomasson, Y. Ge, C. Morgan.  2008.  Multispectral Sensor for In-Situ Cotton Fiber Quality Measurement. Trans. ASABE 51(6): 2201-2208.
  • Wei, L., J. A. Thomasson, M. R. Bricka, R. Sui, J. R. Wooten, and E. P. Columbus.  2009.  Syn-gas quality evaluation for biomass gasification with a downdraft gasifier.  Trans. ASABE 52(1):21-37.
  • Thomasson, J. A., S. Manickavasagam, and M. P. Mengüç.  2009.  Cotton fiber quality characterization with light scattering and Fourier transform infrared techniques.  Applied Spectroscopy 63(3):321-330.
  • Ge, Y., J. A. Thomasson, R. Sui, and C. L. S. Morgan.  2009.  A module-specific post-processing calibration method to improve cotton yield mapping.  Comput. Electron. Agric. 68: 161-167.
  • Thomasson, J. A. and R. Sui.  2009.  Cotton leaf reflectance changes after removal from the plant.  J. Cotton Sci. 13(3): 206-211.
  • Sui, R., J. A. Thomasson, and S. D. F. To.  2010.  Cotton-harvester-flow simulator for testing cotton yield monitors.  Intl. J. Agric. & Biol. Eng. 3(1): 44-49.
  • Sui, R., J. A. Thomasson, R. K. Byler, J. C. Boykin, and E. M. Barnes.  2010.  Effect of machine-fiber interaction on cotton fiber quality and foreign-matter particle attachment to the fiber.  J. Cotton Sci. 14:145–153.
  • Lee, K. -M., P. R. Armstrong, J. A. Thomasson, R. Sui, M. Casada and T. J. Herrman.  2010.  Development and characterization of food-grade tracers for the global grain tracing and recall system.  J. Agric. Food Chem. 58(20):10945–10957.
  • Sjolander, A. J., J. A. Thomasson, R. Sui, and Y. Ge.  2011.  Wireless tracking of cotton modules. Part 1: automatic message triggering.  Comput. Electron. Agric. 75(1):23-33.
  • Sjolander, A. J., J. A. Thomasson, R. Sui, and Y. Ge.  2011.  Wireless tracking of cotton modules.  Part 2: automatic machine identification and system testing.  Comput. Electron. Agric. 75(1):34-43.
  • Lee, K. -M., P. R. Armstrong, J. A. Thomasson, R. Sui, M. Casada and T. J. Herrman.  2011.  Application of binomial and multinomial probability statistics to the sampling design process of a global grain tracing and recall system.  Food Control 22: 1085-1094.
  • Sui, R., B. E. Hartley, J. M. Gibson, C.Yang, J. A. Thomasson, and S. W. Searcy.  2011.  High-biomass sorghum yield estimate with aerial imagery.  J. Appl. Remote Sens. 5(3523):1-9.
  • Ge, Y., J. A. Thomasson, and R. Sui.  2011.  Remote sensing of soil properties in precision agriculture: a review.  Front. Earth Sci. (DOI: 10.1007/s11707-011-0175-0).
  • Ge, Y., J. A. Thomasson, R. Sui, and J. R. Wooten.  2011.  Regression-kriging for characterizing soils with remote sensing data.  Front. Earth Sci. (DOI: 10.1007/s11707-011-0174-1).
  • Ge, Y., J. A. Thomasson, C. L. S. Morgan, S. Stanislav, and R. Sui.  2011.  Cotton revenue apportioned between lint yield and fiber quality: a precision agriculture perspective.  J. Cotton Sci. 15:274–281.
  • Ge, Y., J. A. Thomasson, and R. Sui.  2012.  Wireless-and-GPS system for cotton fiber quality mapping.  Precision Agric. 13:90-103.
  • Liang, K., J. A. Thomasson, K.-M. Lee, M. Shen, Y. Ge, and T. Herrman.  2012.  Printing Data Matrix Code on Food-Grade Tracers for Grain Traceability.  Biosystems Engineering 113(4): 395–401.
  • Sui, R., J. A. Thomasson, and Y. Ge.  2012.  Development of sensor systems for precision agriculture in cotton.  Int. J. Agric. & Biol. Eng. 5(4): 1-14.
  • Liang, , K., J. A. Thomasson, M. X. Shen, P. R. Armstrong, Y. Ge, K. M. Lee, and T. J. Herrman.  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(2013) 359-365.
  • Ge, Y., J. A. Thomasson, and C. L. S. Morgan.  2014.  Mid infrared attenuated total reflectance spectroscopy for soil carbon and particle size determination.  Geoderma 213:57–63.
  • Yang, C., G. N. Odvody, C. J. Fernandez, J. A. Landivar, R. R. Minzenmayer, R. L. Nichols, and J. A. Thomasson.  2014.  Monitoring cotton root rot progression within a growing season using airborne multispectral imagery.  J. Cotton Sci. 18:85–93.
  • Searcy, S. W., B. E. Hartley, and J. A. Thomasson.  2014.  Evaluation of a modular system for low cost transport and storage of herbaceous biomass.  BioEnergy Res. 7(3):824-832.
  • Song, H., C. Yang, J. Zhang, D. He, and J. A. Thomasson.  2015.  Combining fuzzy set theory and nonlinear stretching enhancement for unsupervised classification of cotton root rot.  J. Appl. Remote Sens. 9 (1), 096013; doi: 10.1117/1.JRS.9.096013.
  • Batz, J., M. Mendez, and J. A. Thomasson.  2016.  Imaging for high-throughput phenotyping in energy sorghum.  J. Imaging 2016, 2, 4.
  • Yang, C., G. N. Odvody, J. A. Thomasson, T. Isakeit, and R. L. Nichols.  2016.  Change detection of cotton root rot infection over 10-year intervals using airborne multispectral imagery.  Comput. Electron. Agric. 123(1):154-162.
  • Ge, Y., and J. A. Thomasson.  2016.  NIR reflectance and MIR attenuated total reflectance spectroscopy for characterizing algal biomass composition.  Trans. ASABE 59(2):1-8.
  • Cribben, C. D., J. A. Thomasson, Y. Ge, C. L. S. Morgan, C. Yang, T. Isakeit, and R. L. Nichols.  2016.  Site-specific relationships between cotton root rot and soil properties.  J. Cotton Sci. 20:60-75.
  • Song, H., C. Yang, J. Zhang, W. C. Hoffmann, D. He, and J. A. Thomasson.  2016.  Comparison of mosaicking techniques for airborne images from consumer-grade cameras.  J. Appl. Remote Sens. 10(1), 016030 (March 29, 2016); doi: 10.1117/1.JRS.10.016030.
  • Shi, Y., J. A. Thomasson‎, S. C. Murray, N. A. Pugh, W. L. Rooney, S. Shafian, N. Rajan, G. Rouze, C. L. S. Morgan, H. L. Neely, A. Rana, M. V. Bagavathiannan, J. Henrickson, E. Bowden,   J. Valasek, J. Olsenholler, M. P. Bishop, R. Sheridan, E. B. Putman, S. Popescu, T. Burks, D. Cope, A. Ibrahim, B. F. McCutchen, D. D. Baltensperger, R. V. Avant Jr., M. Vidrine, and C. Yang.  2016.  Unmanned aerial vehicles for high-throughput phenotyping and agronomic research.  PLOS One DOI:10.1371/journal.pone.0159781.
  • Bagnall, G. C., J. A. Thomasson, and Y. Ge.  2016.  Animal-drawn conservation-tillage planter designed for small farms in the developing world.  Appl. Eng. Agric. 32(6): 791-799.
  • Schielack, V. P., J. A. Thomasson, and R. Sui.  2016.  Harvester-based sensing system for cotton fiber quality mapping.  J. Cotton Sci. 20: 386-393.
  • Olivares, J., P. J Lammers, M. Huesemann, W. Boeing, D. B. Anderson, R. G. Arnold, X. Bai; K. Balachandran, M. Bohle, Y. Brhanavan, L. Brown, J. Brown, J. K. Brown, S. Chisholm, C. M. Downes, S. Fulbright, Y. Ge. J. E. Holladay, A. Khopkar, A. Koushik, P. Laur, B. L. Marrone, J. B. Mott, N. Nirmalakhandan, K. L. Ogden, R. L. Parsons, J. Polle, R. D. Ryan, T. Samocha, M. Seger, T. Selvaratnam, R. Sui, J. A. Thomasson, A. Unc, W. Van Voorhies, P. Waller, and Y. Yao.  2016.  Review of the cultivation program within the National Alliance for Advanced Biofuels and Bioproducts.  Algal Research 22: -186.
  • Wang, R., J. A. Thomasson, R. Sui, and E. G. Marley.  2017.  Cotton fiber-quality prediction based on spatial variability in soils.  J. Cotton Sci. 21:220–228.
  • Yao, Y., Y. Ge, J. A. Thomasson, and R. Sui.  2018.  Algae optical density sensor for pond monitoring and production process control.  Int. J. Agric. Bio. Eng. 11(1):212-217.
  • Yang, C., G. N. Odvody, J. A. Thomasson, T. S. Isakeit, R. R. Minzenmayer, D. R. Drake, and R. L. Nichols.  2018.  Site-specific management of cotton root rot using airborne and high resolution satellite imagery and variable rate technology.  Trans. ASABE 61(3):849-858.
  • Hosseinali, F., and J. A. Thomasson.  2018.  Variability of fiber friction among cotton varieties: influence of salient fiber physical metrics.  Tribology Int. 127(1):433-445.
  • Hosseinali, F., and J. A. Thomasson.  2018.  Multiscale frictional properties of cotton fibers: a review.  Fibers 6:49; DOI: 10.3390/fib6030049.
  • Pugh, N. A., X Han, S. D. Collins, J. A. Thomasson, D. A. Cope, A. Chang, J. Jung, T. S. Isakeit, L. K. Prom, G. Carvalho, I. T. Gates, A. Vree, G. C. Bagnall, and W. L. Rooney.  2018.  Estimation of plant health in a sorghum field infected with anthracnose using a fixed-wing unmanned aerial system.  J. Crop Improvement 32:6, 861-877, DOI: 10.1080/15427528.2018.1535462.
  • Han, X., J. A. Thomasson, G. C. Bagnall, N. A. Pugh, D. Horne, W.  L. Rooney, J. Jung, A. Chang, L. Malambo, S. Popescu, I. Gates, and D. A. Cope.  2018.  Measurement and calibration of plant-height from fixed-wing UAV images.  Sensors 18:4092; DOI:10.3390/s18124092
  • Anderson, S. J., S. C. Murray, L. Malambo, C. Ratliff, S. Popescu, D. A. Cope, A. Chang, J. Jung, and J. A. Thomasson.  2019.  Prediction of maize grain yield before maturity using improved temporal height estimates of unmanned aerial systems.  Plant Phenome J. 2(1); doi:10.2135/tppj2019.02.0004.
  • Han, X., J. A. Thomasson, Y. Xiang, H. Gharakhani, P. K. Yadav, and W. L. Rooney.  2019.  Multifunctional ground control points with a wireless network for communication with a UAV.  Sensors 19:2852; doi: 10.3390/s19132852.
  • Hosseinali, F., and J. A. Thomasson.  2019.  Probing of nanoscale friction and mechanical characteristics of cotton fiber’s surface   Fibers 7(7), 64; doi.org/10.3390/fib7070064.
  • Park, J., J. A. Thomasson, S. Fernando, K.-M. Lee, and T. J. Herrman.  2019.  Complexes formed by hydrophobic interaction between Ag-nanospheres and adsorbents for the detection of methyl salicylate VOC.  Nanomaterials 9(11):1621; doi.org/10.3390/nano9111621.
  • Park, J., J. A. Thomasson, K.-M. Lee, C. P.-C. Suh, J. L. Perez, and T. J. Herrman.  2020.  VOCs determination by adsorbent-Raman system in food and botanicals.  Analytical Methods doi:10.1039/d0ay00180e.
  • Park, J., J. A. Thomasson, C. C. Gale, G. Sword, K.-M. Lee, T. J. Herrman, and C. P.-C. Suh.  2020.  Adsorbent-SERS technique for determination of plant VOCs from live cotton plants and dried teas.  ACS Omega 5, 2779−2790 doi:10.1021/acsomega.9b03500
  • Han, X., J. A. Thomasson, T. Wang, and V. Swaminathan.  2020.  Autonomous mobile ground control point improves accuracy of agricultural remote sensing through collaboration with UAV.  Inventions 5, 12; doi:10.3390/inventions5010012.
  • Wang, T., J. A. Thomasson, C. Yang, T. Isakeit, and R. L. Nichols.  2020.  Automatic classification of cotton root rot disease based on UAV remote sensing.  Remote Sensing 12(8); doi: 10.3390/rs12081310.
  • Cholula, U., J. A. da Silva, T. Marconi, J. A. Thomasson, J. Solorzano, and J. Enciso.  2020.  Forecasting yield and lignocellusic composition of energy cane using unmanned aerial systems.  Agronomy 10(5); doi: 10.3390/agronomy10050718.
  • Park, J., J. A. Thomasson, Z. Gorman, M. Brewer, W. L. Rooney, and M. Kolomiets.  2020.  Multivariate analysis of sorghum volatiles for the fast screening of sugarcane aphid infestation.  J. Asia-Pac. Entomol.; doi: 10.1016/j.aspen.2020.07.014.
  • Wang, T., J. A. Thomasson, T. S. Isakeit, C. Yang, and R. L. Nichols.  2020.  A plant-by-plant cotton root rot identification method based on UAV remote sensing.  Remote Sens. 12(15), 2453; doi.org/10.3390/rs12152453.
  • Wang, T., J. A. Thomasson, C. Yang, T. Isakeit, R. L. Nichols, R. M. Collett, X. Han, and G. C. Bagnall.  2020.  UAV remote sensing to delineate cotton root rot.  J. Appl. Remote Sens. 14(3), 034522; doi: 10.1117/1.JRS.14.034522.
  • Han, X., J. A. Thomasson, V. Swaminathan, T. Wang, J. Siegfried, R. Raman, N. Rajan, and H. Neely.  2020.  Field-based calibration of unmanned aerial vehicle thermal infrared imagery with temperature-controlled references.  Sensors 20:7098; doi: 10.3390/s20247098.
  • White, E. L., J. A. Thomasson, B. Auvermann, N. R. Kitchen, L. S. Pierson, D. Porter, C. Baillie, H. Hamann, G. Hoogenboom, T. Janzen, R. Khosla, J. Lowenberg-DeBoer, M. McIntosh, S. Murray, D. Osborn, A. Shetty, C. Stevenson, J. Tevis, and F. Werner.  2020.  Report from the conference, ‘identifying obstacles to applying big data in agriculture.’  Precis. Agric. 22(1)306-315; doi: 10.1007/s11119-020-09738-y.
  • Shangguan, L., J. A. Thomasson, and S. Gopalswamy.  2021.  Motion planning for autonomous grain carts.  IEEE Trans. Veh. Technol. (in press).

Book Chapters

  • Thomasson, J. A.  2003.  Remote sensing in agriculture.  In Encyclopedia of Agricultural, Food, and Biological Engineering.  New York: Marcel Dekker.
  • Sui, R., and J. A. Thomasson.  2012.  Mechanization, Sensing, and Control in Cotton Production.  In Agricultural Automation: Fundamentals and Practices.  Boca Raton, Fla: CRC Press.
  • Bishop, M. P., M. V. Bagavathiannan, D. A. Cope, D. Huo, S. C. Murray, J. A. Olsenholler, W. L. Rooney, J. A. Thomasson, J. Valasek, B. W. Young, A. M. Filippi, D. B. Hays, L. Malambo, S. C. Popescu, N. Rajan, V. P. Singh, B. McCutchen, R. Avant, and M. Vidrine.  2018.  High-resolution UAS Imagery in Agricultural Research: Concepts, Issues, and Research Directions.  In High Spatial Resolution Remote Sensing: Data, Analysis, and Applications.  Boca Raton, Fla: CRC Press.

Popular Press

  • Thomasson, J. A.  1990.  A summary of research in cotton gin trash disposal.  Cotton Gin and Oil Mill Press 91(2):8-9.
  • Thomasson, J. A., and W. S. Anthony.  1990.  Potential methods for disposal of cotton gin trash.  Cotton Gin and Oil Mill Press 91(19):5-9.
  • Herrman, T. J., and J. A. Thomasson.  2011.  Grain traceability and its role in food safety.  Cereal Foods World 56(4):157-161.  [INVITED]
  • Thomasson, J. A.  2015.  Farmers of the future will utilize drones, robots and GPS.  The Conversation, March 18.  [INVITED]
  • Thomasson, J. A., G. Santos, and A. Basu.  2016.  How would google farm?  Analytics Magazine, March/April 2016.
  • Thomasson, J. A., and J. Valasek.  2016.  Small UAS in agricultural remote-sensing research at Texas A&M.  2016.  Resource, July/August 2016.  [INVITED]
  • Woldt, W., J. A. Thomasson, and J. Valasek.  2016.  Unmanned aircraft systems: all types and sizes.  Resource, May/June 2016.  [INVITED]