Joe D. Luck, Ph.D., P.E.

Joe D. Luck

Contact Information:

204 L.W. Chase Hall
East Campus (Lincoln)
402-472-1488
Email   

Associate Professor of Biological Systems Engineering, Precision Agriculture Engineer

Academic Degrees

  • Ph.D., Biosystems and Agricultural Engineering, University of Kentucky (2012)
  • M.S., Biosystems and Agricultural Engineering, University of Kentucky (2007)
  • B.S., Civil Engineering, University of Kentucky (2002)
  • Licensed Professional Engineer, Commonwealth of Kentucky

Appointment

  • 60% Extension
  • 40% Research

Areas of Research and Professional Interest

  • Variable-Rate Application Technologies
  • Sensors and Control Systems for Site-Specific Crop Management
  • Development and Evaluation of Liquid Application Technologies
  • GIS and Data Management Systems in Agriculture
Extension Interests
  • Site-Specific Management Strategies
  • Precision Agriculture Technology Utilization
  • Farm Management Software Training
Teaching Interests
  • Site-Specific Crop Management 

Honors and Awards

  • 2017 Precision Ag Researcher/Educator of the Year Award. The Precision Ag Institute Awards of Excellence.
  • 2017 Larry Turner Young Extension Professional Award. The American Society of Agricultural and Biological Engineers.
  • 2015 Gale A. Holloway Professional Development Award, American Society of Agricultural and Biological Engineers
  • 2015 Holling Family Junior Faculty Teaching Excellence Award, University of Nebraska-Lincoln College of Agricultural Sciences and Natural Resources
  • 2015 Faculty of the Year Award, University of Nebraska-Lincoln College of Engineering Student Advisory Board

Selected Publications

  1. Vieira, B.C., J.D. Luck, K.L. Amundsen, T.A. Gaines, R. Werle, and G.R. Kruger. 2019. Response of Amaranthus spp. Following exposure to sublethal herbicide rates via spray particle drift. PLoS ONE 14(7): e0220014. https://doi.org/10.1371/journal.pone.0220014
  2. Rohrer, R.A.3, S.K. Pitla, and J.D. Luck. 2019. Tractor can bus interface tools and application development for real-time data analysis. Computers Electronics Agric. DOI: https://doi.org/10.1016/j.compag.2019.06.002
  3. Butts, T.R., C.A. Samples, L.X. Franca, D.M. Dodds, D.B. Reynolds, J.W. Adams, R.K. Zollinger, K.A. Howatt, B.K. Fritz, W.C. Hoffmann, J.D. Luck, and G.R. Kruger. 2019. Optimum droplet size using a pulse-width modulation sprayer for applications of 2,4-D choline plus glyphosate. Agron J. 111(3):1425-1432.
  4. Butts, T.R., C.A. Samples, L.X. Franca, D.M. Dodds, D.B. Reynolds, J.W. Adams, R.K. Zollinger, K.A. Howatt, B.K. Fritz, W.C. Hoffmann, J.D. Luck, and G.R. Kruger. 2019. Droplet size impact on dicamba plus glyphosate tank-mixture efficacy. Weed Tech. 33(1):66-74.
  5. Luck, J.D., S.A. Shearer, and M.P. Sama. 2019. Development and preliminary evaluation of an integrated individual nozzle direct injection/carrier flow rate control system for pesticide applications. Trans. ASABE. 62(2): 505-514.
  6. Butts, T.R., J.D. Luck, B.K. Fritz, W.C. Hoffmann, and G.R. Kruger. 2019. Evaluation of spray pattern uniformity using three unique analyses as impacted by nozzle, pressure, and pulse-width modulation duty cycle. Pest Mgmt. Sci. 75(7): 1875-1886.
  7. Butts, T.R., L.E. Butts, J.D. Luck, B.K. Fritz, W.C. Hoffmann, and G.R. Kruger. 2019. Droplet size and nozzle tip pressure from a pulse-width modulation sprayer. Biosys. Eng. 178(2019) 52-69.
  8. Rohrer, R.A.3, S.K. Pitla, J.D. Luck, and R.M. Hoy. 2018. Evaluation of the accuracy of machine reported CAN data for engine torque and speed. Trans. ASABE 61(5): 1547-1557 (Contribution 20%)
  9. Thompson, L.J., B.R. Krienke, R.B. Ferguson, and J.D. Luck. 360-degree Video for Immersive Learner Engagement. J. Extension [On-line], 53(4) Article 5TOT2. Available at: https://joe.org/joe/2018september/pdf/JOE_v56_5tt2.pdf (Contribution 20%)
  10. Finkenbiner, C., T.E. Franz, J. Gibson, D.M. Heeren, and J.D. Luck. 2018. Integration of hydrogeophysical datasets and empirical orthogonal functions for improved irrigation water management. Precision Agric. https://doi.org/10.1007/s11119-018-9582-5 (Contribution 10%)
  11. Miller, K.A.2, J.D. Luck, D.M. Heeren, T.H. Lo, D.L. Martin, and J.B. Barker. 2018. A geospatial variable rate irrigation control scenario evaluation methodology based on mining root zone available water capacity. Precision Agric. 19(4): 666-683.