SAES-422 Multistate Research Activity Accomplishments Report
Sections
Status: Approved
Basic Information
- Project No. and Title: OLD S1069 : Research and Extension for Unmanned Aircraft Systems (UAS) Applications in U.S. Agriculture and Natural Resources
- Period Covered: 04/01/2017 to 03/01/2018
- Date of Report: 05/24/2018
- Annual Meeting Dates: 03/01/2018 to 03/02/2018
Participants
Maria Balota Virginia Tech Muthu Bagavathiannan Texas A&M University Cody Bagnall Texas A&M University Barry Boney University of Arkansas Christian Brodbeck Auburn University Joby Czarnecki Mississippi State University Wesley Everman North Carolina State University Robert Freeland University of Tennessee Xiongzhe Han Texas A&M University Josh Jackson University of Kentucky Lav Khot Washington State University Joe Maja Clemson University Dan Martin USDA Seth Murray Texas A&M University John Nowatzki North Dakota State University Larry Purcell University of Arkansas Glen Rains University of Georgia Dharmendra Saraswat Purdue University Vijay Singh Texas A&M University Terry Spurlock University of Arkansas Alex Thomasson Texas A&M University Emma White Texas A&M Agrilife Research Deb Banerjee Texas A&M University Steven Thomson USDA | NIFA Eric Young SAAESD Dale Cope Texas A&M University Hussein Gharakhani Texas A&M University Jianing He Texas A&M University Jinhyuk Park Texas A&M University Nithya Rajan Texas A&M University Misty Vidrine Texas A&M AgriLife Research - Corporate Relations Gregory Rouze Texas A&M University
Accomplishments
Impacts
Publications
Thomasson
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 (in press).
Thomasson, J. A., T. Wang, X. Wang, R. Collett, C. Yang, R. L. Nichols. Disease detection and mitigation in a cotton crop with UAV remote sensing. Defense and Commercial Sensing Conf. Bellingham, WA: SPIE.
Han, X., J. A. Thomasson, G. C. Cody Bagnall, N. A. Pugh, D. W. Horne, W. L. Rooney, L. Malambo, A Chang, J. Jung, and D. A. Cope. 2018. Calibrated plant height estimates with structure from motion from fixed-wing UAV images. Defense and Commercial Sensing Conf. Bellingham, WA: SPIE.
Bagnall, G. C., J. A. Thomasson, C. Sima, and C. Yang. 2018. Quality assessment of radiometric calibration of UAV image mosaics. Defense and Commercial Sensing Conf. Bellingham, WA: SPIE.
Shi, Y., J. A. Thomasson, C. Sima, C. Yang, and D. A. Cope. 2017. A case study of comparing radiometrically
calibrated reflectance of animage mosaic from unmanned aerial system with that of a single image from manned aircraft over a same area. Defense and Commercial Sensing Conf. Bellingham, WA: SPIE.
Thomasson, J. A. Y. Shi, C. Sima, C. Yang, and D. A. Cope. 2017. Automated geographic registration and radiometric correction for UAV-based mosaics. Defense and Commercial Sensing Conf. Bellingham, WA: SPIE.
Hession
Grutter, B., W.C. Hession, R. Grisso, L. Lehmann, and D. Morgan. 2017. Best Management Practices Utilizing Unmanned Aircraft Vehicles in Aerial Spraying. Final Project Report submitted to E.I. Dupont De Nemours and Co., Wilmington, DE.
Kurouski
Farber, C. and Kurouski, D. (2018) Detection and Identification of Plant Pathogens on Maize Kernels with a Handheld Raman Spectrometer Anal. Chem., 90, 3009-3012.
Khot
Chandel, A., L. R. Khot*, Y. Osroosh and R. T. Peters. 2018. Thermal-RGB imager derived in-field apple surface temperature estimates for sunburn management. Agricultural and Forest Meteorology, 253-254: 132-140 (5-Year IF: 4.753).
Osroosh, Y., L. R. Khot*, and R. T. Peters. 2018. Economical thermal-RGB imaging system for monitoring agricultural crops. Computers and Electronics in Agriculture, 147: 34-43. (5-Year IF: 2.502).
Boydston*, R., L. D. Porter, B. Chaves-Cordoba, P. N. Miklas and L. R. Khot. 2018. The impact of tillage on pinto bean cultivar response to drought induced by deficit irrigation. Soil & Tillage Research, 180: 63-72. (5-Year IF: 3.856).
Zhou, J., L. R. Khot*, R. A. Boydston, P. N. Miklas, and L. Porter. 2017. Low altitude remote sensing technologies for crop stress monitoring: a case study on spatial and temporal monitoring of irrigated pinto bean. Precision Agriculture, DOI: 10.1007/s11119-017-9539-0 (5-Year IF: 2.012).
Zúñiga, C. E., L. R. Khot*, S. Sankaran, and P. Jacoby. 2017. High resolution multispectral and thermal remote sensing-based water stress assessment in subsurface irrigated grapevines. Remote Sensing, 9(9): 961-976. doi:10.3390/rs9090961 (5-Year IF: 3.749).
Khot, L. R. 2017. FS285E Unmanned aerial systems in agriculture: part II (Sensors) - UAS in Ag Series (2015-1493).
Khot, L. R. and R. T. Peters. 2018. Advances in UAS based imagery and its applications in irrigated agriculture. Irrigation Today Magazine, April, 2018. 23-24.
Khot, L. R. 2018. Drone data for agriculture, Good Fruit Grower Magazine, http://www.goodfruit.com/khot-drone-data-for-agriculture/
Purcell
Bai, H. and L.C. Purcell. 2018. Aerial canopy temperature differences between fast- and slow-wilting soybean genotypes. J. Agron. Crop Sci. 204:243-251.
Kaler, A.S., J.D. Ray, W.T. Schapaugh, A.R. Asebedo, C.A. King, E.E. Gbur, and L.C. Purcell. 2018. Association mapping identifies loci for canopy temperature under drought in diverse soybean genotypes. Euphytica (in review).
Balota
Balota, M., Oakes, J. 2017. UAV remote sensing for phenotyping drought tolerance in peanuts. Proc. Ann. Soc. Photographic Instrumentation Engineers (SPIE) Autonomous Air and Ground Sensing Systems for Agricultural Optimization and Phenotyping II, 102180C (May 16, 2017) Vol 10218 (doi: 10.1117/12.2262496).
Oakes, J., Balota, M., 2017.Distinguishing plant population and variety with UAV-derived vegetation indices. Proc. Ann. Soc. Photographic Instrumentation Engineers (SPIE)Autonomous Air and Ground Sensing Systems for Agricultural Optimization and Phenotyping II, 102180G (May 16, 2017) Vol 10218 (doi: 10.1117/12.2262631).
Balota, M., Oakes, J. 2016. Exploratory use for a UAV platform for variety selection in peanut. Proc. Ann. Soc. Photographic Instrumentation Engineers (SPIE) Vol 9866 (doi: 10.1117/12.2228872).
Freeland
Ramirez, M. B., Allen, P. B., Freeland, R. S., and Wilkerson, J. B. (2017). Cotton canopy NDVI: Reducing the ground exposure effect. Transactions of the ASABE, 60(2), 293-301.
Allred, B., Eash, N., Freeland, R., Martinez, L., and Wishart, D. (2018). Effective and efficient agricultural drainage pipe mapping with UAS thermal infrared imagery: A case study. Agricultural Water Management, 197, 132-137.