Publications/Presentations

Publications (alphabetical order)

Chang, A., Jung, J., Maeda, M., & Landivar, J. (2017). Crop height monitoring with digital imagery from Unmanned Aerial System (UAS). Science Direct, 141,232-237 doi:10.1016/j.compag.2017.07.008
Chen, R., Chu, T., Landivar, J., Yang, C., & Maeda, M. (2017). Monitoring cotton (Gossypium hirsutum L.) germination using ultrahigh-resolution UAS images. Precision Agriculture, 19(1)161-177 doi:10.1007/s11119-017-9508-7
Chu, T., Chen, R., Landivar, J., Maeda, M., Yang, C., & Starek, M. (2016). Cotton growth modeling and assessment using unmanned aircraft system visual-band imagery. J. Appl. Remote Sens, 10(3), 036018. doi: 10.11 17/1.JRS.10.036018
Enciso, J., Jung, J., Anjin, A., Chavez, J. C., Yeom, J., Landivar, J., Cavazos, G., (2018) Assessing land leveling needs and performance with unmanned aerial system, Journal of Applied Remote Sensing. 12(1), 016001, doi: 10.1117/1.JRS.12.01600.
Enciso, J., Maeda, M., Landivar, J., Jung, J., Chang, A., (2017). A ground based platform for high throughput phenotyping, Computers and Electronics in Agriculture 141(2017): 286-291.
Farber, C. and Kurouski, D. (2018) Detection and Identification of Plant Pathogens on Maize Kernels with a Handheld Raman Spectrometer, Analytical Chemistry., 90, 3009-3012.
Kunz J.N., Voronine D.V., Ko B.A., Lee H.W.H., Rana A., Bagavathiannan M. V., Sokolov A. V., Scully M. O., (2016) Interaction of femtosecond laser pulses with plants: towards distinguishing weeds and crops using plasma temperature. Journal of Machine Optics (in press).
Malambo, L., Popescu, S., Murray, S., Putman, E., Pugh, A., Horne, D., Richardson, G., Sheridan, R., Rooney, W. L., Avant, R., Vidrine, M., McCutchen, B., Baltensperger, D., & Bishop, M. (2017). Multitemporal field-based plant height estimation using 3D point clouds generated from small unmanned aerial systems high-resolution imagery. International Journal of Applied Earth Observation and Geoinformation. (64) 31-42.
Murray, S.C. (2017). Optical Sensors Advancing Precision in Agricultural Production. Photonics.com
Murray, S.C., Knox, L., Hartley, B., Méndez-Dorado, M.A., Richardson, G., Thomasson, A., Shi, Y., Rajan, N., Neely, H., Bagavathiannan, M., Dong, X., & Rooney, W. (2016). High clearance phenotyping systems for season-long measurement of corn, sorghum and other row crops to complement unmanned aerial vehicle systems. SPIE 9866-4
Neely, H. L., Morgan, C., L. S., Stanislav, S., Rouze, G., Shi, Y., Thomasson, A., Valasek, J., & Olsenholler, J. (2016). Strategies for soil-based precision agriculture in cotton. Defense and Commercial Sensing Conf. Bellingham, WA: SPIE.
Pugh, A. N., Horne, D. W., Murray, S. C., Carvalho, G., Malambo, L., Jung, J., Chang, A., Maeda, M., Popescu, S., Chue, T., Stareke, M. T., Brewer, J. M., Richardson, G., & Rooney, W. L. (2017). Temporal Estimates of Crop Growth in Sorghum and Maize Breeding Enabled by Unmanned Aerial Systems, The Plant Phenome Journal, doi: 10.2135/tppji2017.08.0006
Rouze, G.S., Neely, H.L., Morgan, C.L.S., Yang, C. (2018). Spatial analysis of multispectral and thermal imagery from multiple platforms. Defense and Commercial Sensing Conf. Orlando, FL: SPIE.
Shafian, S., Rajan, N., Schnell, R., Bagavanthiannan, M., Valasek, J., Shi, Y., & Olsenholler, J. (2018). Unmanned aerial systems-based remote sensing for monitoring sorghum and development. PLOS ONE, doi.org/10.1371/journal.pone.0196605
Shi, Y., Thomasson, A., Murray, S., Pugh, A., Rooney, W., Shafian, S., Rajan, N., Rouze, G., Morgan, C., Neely, H., Rana, A., Bagavathiannan, M., Henrickson, J., Bowden, E., Valasek, J., Olsenholler, J., Bishop, M., Sheridan, R., Putman, E., Popescu, S., Burks, T., Cope, D., Ibrahim, A., McCutchen, B., Baltensperger, D., Avant, R., Vidrine, M., & Yang, C. (2016) Unmanned Aerial Vehicles for High-Throughput Phenotyping and Agronomic Research. PLOS ONE, 11.7
Shi, Y., Murray, S., Rooney, W., Valasek, J., Olsenholler, J., Pugh, A., Henrickson, J., Bowden, E., Zhang, D., & Thomasson, A. (2016). Corn and sorghum phenotyping using a fixed-wing UAV-based remote sensing system. SPIE 9866-11
Song, H., Yang, C., Zhang, J., He, D., & Thomasson, A. (2015). Combining fuzzy set theory and nonlinear stretching enhancement for unsupervised classification of cotton root rot. J. Appl. Remote Sens. 9 (1), 096013 (August 26, 2015); doi: 10.1117/1.JRS.9.096013. [indirectly related]
Stanton, C., Starek, M., Elliot, N., Brewer, M., Maeda, M., & Chu, T. (2017). Unmanned aircraft system-derived crop height and normalized difference vegetation index metrics for sorghum yield and aphid stress assessment. J. Appl. Remote Sens, 11(2), 026035. doi:10.11 17/1.JRS.11.026035
Thomasson, A., Shi, Y., Olsenholler, J., Valasek, J., Murray, S., & Bishop, M. (2016). Comprehensive UAV agricultural remote-sensing research at Texas A&M University. SPIE 9866-28
Valasek, J., & Thomasson, A. (2016). Autonomous Air and Ground Sensing Systems for Agricultural Optimization and Phenotyping. Defense and Commercial Sensing Conf. Bellingham, WA: SPIE.
Yeom, J., Jung, J., Chang, A., Maeda, M., & Landivar, J. (2017). Cotton growth modeling using unmanned aerial vehicle vegetation indices. International Geoscience and Remote Sensing Symposium, Fort Worth, TX.
Yang, C., Odvody, G., Thomasson, A., Isakeit, T., Minzenmayer, R., Drake, D., & Nichols, R. (2018). Site-specific management of cotton root rot using airborne and high resolution satellite imagery and variable rate technology. Trans. ASABE
Yang, C., Odvody, G., Thomasson, A., Isakeit, T., & Nichols, R. (2016). Change detection of cotton root rot infection over 10-year intervals using airborne multispectral imagery. Comput. Electron. Agric. 123(1):154-162. [indirectly related]
Zhang, D., Zhou, X., Zhang, J., Yubin Lan, Y., Xu, C., Liang, D., (2018) Detection of rice sheath blight using an unmanned aerial system with high-resolution color and multispectral imaging, PLOS ONE, 13.5

Presentations

Bagavathiannan M. (2017). Unmanned aerial systems for weed management applications – Progress made at TAMU. In: Proceedings of the Weed Science Society of America Annual Meeting, Tucson, AZ.
Bagnall, C., Thomasson, A., Sima, C., & Yang, C. (2018). Quality assessment of radiometric calibration of UAV image mosaics. Defense and Commercial Sensing Conference, Bellingham, WA.
Han, X., Thomasson, A., Bagnall, C., Pugh, N. A., Horne, D. H., Rooney, W. L., Malambo, L., Chang, A., Jung, J., & Cope, D. A. Calibrated plant height estimates with structure from motion from fixed-wing UAV images, SPIE 10664, Autonomous Air and Ground Sensing Systems for Agricultural Optimization and Phenotyping III, 106640D.
Han, X., Thomasson, A., Bagnall, C., Pugh, A., Horne, D., Rooney, W., Malambo, L., Chang, A., Jung, J., & Cope, D. (2018). Calibrated plant height estimates with structure from motion from fixed-wing UAV images. Defense and Commercial Sensing Conference, Bellingham, WA.
Mikeska, M., Rajan, N., Shafian, S., Valasek, J., Cope, D., & Olsenholler, J. (2017, January). Using unmanned aerial systems to track growth and predict yield in cotton. Beltwide Cotton Conferences, Dallas, TX.
Mikeska, M., Rajan, N., Shafian, S., Valasek, J., Cope, D., Olsenholler, J., Morgan, G., & Cope, D. (2016, December). Unmanned aerial systems and field phenotyping platforms for assessing the growth and development of cotton. 28^th Texas Plant Protection Conference, Bryan, TX.
Murray, S., Richardson, G., Malambo, L., Shi, Y., Hartley, B., Demieville, J., Pekar, J., Thomasson, A., Popescu, S., Cope, D., Valasek, J., Olsenholler, J., Bishop, M., Dong, X., Rooney, W., Oliver, G., Ratcliff, C., Baltensperger, D., Maeda, M., Jung, J., Starek, M., Brewer, M., & Landivar, J. (2016, November). Temporal estimates of maize plant growth in a breeding program using ground based and unmanned aerial vehicle systems. Crop Science Meeting Annual Meeting, Phoenix, AZ.
Murray, S., Richardson, G., Malambo, L., Shi, Y., Hartley, B., Demieville, J., Pekar, J., Thomasson, A., Popescu, S., Cope, D., Valasek, J., Olsenholler, J., Bishop, M., Dong, X., Rooney, W., Oliver, G., Ratcliff, C., Baltensperger, D., Maeda, M., Jung, J., Starek, M., Brewer, M., Landivar, J., McCutchen, B., Baltensperger, D., Avant, R., & Vidrine, M. (2017, February). Data on High; Successes and Lessons from the Texas A&M AgriLife Unmanned Aerial Systems (UAS) Project. Phenome meeting, Tucson, AZ.
Murray, S., Shi, Y., Sheridan, R., Putman, E., Thomasson, A., Popescu, S., Harris, J., Henrickson, J., Bowden, E., Valasek, J., Olsenholler, J., Bishop, M., Cope, D., Pugh, A., Rooney, W., McCutchen, B., Vidrine, M., Avant, B. (2016, March). Field based phenotyping using unmanned aerial vehicles (UAVs) and ground vehicles, what are we measuring and what have we learned? Genetics of Maize-Microbe Interactions Workshop, College Station, TX.
Murray, S., Shi, Y., Sheridan, R., Putman, E., Thomasson, A., Popescu, S., Harris, J., Henrickson, J., Bowden, E., Valasek, J., Olsenholler, J., Bishop, M., Cope, D., Pugh, A., Rooney, W., McCutchen, B., Vidrine, M., & Avant, B. (2016, March). Field based phenotyping using unmanned aerial vehicles (UAVs) and ground vehicles, what are we measuring and what have we learned? 58th Annual Maize Genetics Conference, Jacksonville, FL.
Murray, S. (2016, February). Breeding Maize for Dryland and Irrigated Southern Environments: the Role of Genetic Diversity and New Technology. NC State Plant Breeding Symposium, Raleigh, NC.
Neely, H., Morgan, C., Rouze, G., Valasek, J., Shi, Y., Thomasson, A., Kustas, W., Prueger, J., & McKee. A Soil-up Approach to Precision Agriculture.
Rajan, N., Shafian, S., Valasek, J., Schnell, R., Bagavathiannan, M., Menefee, D., Pokhrel, P., Valasek, J., Olsenholler J., & Shi, Y. (2016, November). Using a fixed wing UAV remote sensing system for monitoring sorghum growth and development. Abstracts, ASA-CSSA-SSSA International Annual Meetings, Phoenix, AZ.
Rajan, N., Shafian, S., Ibrahim, A., Valasek, J., Shi, Y., Olsenholler, J., & Simoneaux, B. (2016, August). Wheat Phenotyping using UAV Remote Sensing. Small Grains Workers Meeting, College Station, TX.
Rouze, G., Morgan, C., Neely, H., Kustas, W., McKee, L., Prueger, J., Thomasson, A., Shi, Y., Valasek, J., & Yang, C. Using Low-Altitude Thermal Sensing for Precision Management of Crop Stress.
Shafian, S., Rajan, N., Schnell, R., Bagavathiannan, M., Valasek, J., Menefee, D., Pokhrel, P., Olsenholler, J., & Shi, Y. (2016, December). Using a fixed wing UAV remote sensing system for sorghum crop phenotyping. Abstracts, AGU Fall meeting, San Francisco, CA.
Shafian, S., Rajan, N., Shi, Y., Valasek, J., & Olsenholler, J. (2016, November). Unmanned aerial vehicle (UAV) based remote sensing for crop phenotyping. Abstracts, ASA-CSSA-SSSA International Annual Meetings, Phoenix, AZ.
Smith, H., Shafian, S., Mikeska, M., & Rajan, N. (2016, August). The Use of Unmanned Aerial Remote Sensing for Studying Cotton Growth and Development, Undergraduate Research Summer Poster Session, College Station, TX.
Thomasson, A., Shi, Y. (2015, February). Remote Sensing with UAS in Agriculture, at the High Plains Air Park Workshop, Texas A&M AgriLife Research and Extension Center, Amarillo, TX.
Thomasson, A., Shi, Y. (2015, April). Geospatial Applications in Production Agriculture, at the GEOSAT Seminar Series, Texas A&M University, College Station, TX.
Thomasson, A., Shi, Y. (2015, November). Texas A&M’s Comprehensive Project for Agricultural Remote Sensing and High-Throughput Phenotyping with Unmanned Aerial Vehicles, at the Seventh International Symposium on Precision Agriculture and Aerial Pesticide Application Technology, Liyang, Changzhou, China.
Thomasson, A., Shi, Y. (2015, November). Texas A&M’s Comprehensive Project for Agricultural Remote Sensing and High-Throughput Phenotyping with Unmanned Aerial Vehicles, at the Sixth Asian Conference on Precision Agriculture, South China Agricultural University, Guangzhou, Guangdong, China.
Thomasson, A., Shi, Y. (2016, March). Research in Sensors and UAVs for Cotton and Other Crops, at the Anniversary Symposium of Autonomous Agricultural University of Antonio Narro, Saltillo, Coahuila, Mexico.
Thomasson, A., Shi, Y. (2016, June). Big Data in Agriculture: A Precision Agriculture Perspective, at the Texas A&M Meeting on Big Data in Agriculture at USDA’s National Institute for Food and Agriculture, Washington, DC.
Thomasson, A., Shi, Y. (2016, September). Autonomous Air and Ground Sensing Systems for Agricultural Optimization and Phenotyping, at the Department of Electrical and Computer Engineering Seminar, Texas A&M University, College Station, TX.
Thomasson, A., Shi, Y. (2016, December). UAVs and the Use of Agricultural Data, at the Texas Plant Protection Association meeting in Bryan, TX.
Thomasson, A., Shi, Y., Sima, C., Yang, C., & Cope, D. (2017). Automated geographic registration and radiometric correction for UAV-based mosaics. Defense and Commercial Sensing Conference. Bellingham, WA.
Thomasson, A., Wang, T., Wang, X., Collett, R., Yang, C., & Nichols, R. Disease detection and mitigation in a cotton crop with UAV remote sensing. Defense and Commercial Sensing Conference, Bellingham, WA.