Michael D. Dukes
Affiliations: | Agricultural and Biological Engineering | University of Florida, Gainesville, Gainesville, FL, United States |
Area:
Civil Engineering, Water Resource Management, Environmental EngineeringWebsite:
https://abe.ufl.edu/people/faculty/michael-dukes/Google:
"Michael Dukes"Cross-listing: Envirotree
Parents
Sign in to add mentorRobert O. Evans | grad student | 2000 | NCSU | |
(Effect of riparian buffers and controlled drainage on shallow groundwater quality in the North Carolina middle coastal plain.) |
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Publications
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Kisekka I, Migliaccio KW, Dukes MD, et al. (2020) Evapotranspiration-Based Irrigation for Agriculture: Sources of Evapotranspiration Data for Irrigation Scheduling in Florida Edis. 2020 |
Conger SLD, Dukes MD. (2020) Evaluation of Testing Procedures for Weather-Based Irrigation Controllers Transactions of the Asabe. 63: 1277-1287 |
Zamora-Re MI, Dukes MD, Hensley D, et al. (2020) The effect of irrigation strategies and nitrogen fertilizer rates on maize growth and grain yield Irrigation Science. 38: 461-478 |
Morera MC, Monaghan PF, Dukes MD. (2019) Determinants of Landscape Irrigation Water Use in Florida-Friendly Yards. Environmental Management |
Khachatryan H, Suh DHS, Xu W, et al. (2019) Towards sustainable water management: Preferences and willingness to pay for smart landscape irrigation technologies Land Use Policy. 85: 33-41 |
Faria LC, Nörenberg BG, Colombo A, et al. (2019) Irrigation distribution uniformity analysis on a lateral-move irrigation system Irrigation Science. 37: 195-206 |
Boyer MJ, Dukes MD, Duerr I, et al. (2018) Water Conservation Benefits of Long-Term Residential Irrigation Restrictions in Southwest Florida Journal American Water Works Association. 110: 2-17 |
Biscaia Ribeiro da Silva AL, Hashiguti HT, Zotarelli L, et al. (2018) Soil Water Dynamics of Shallow Water Table Soils Cultivated With Potato Crop Vadose Zone Journal. 17: 180077 |
Cardenas B, Dukes M. (2018) Dry-Out Periods of Rain Sensors vs. Soil Dry-Out: Water Saving Potential and Recommendations Vadose Zone Journal. 17: 170185 |
Duerr I, Merrill HR, Wang C, et al. (2018) Forecasting urban household water demand with statistical and machine learning methods using large space-time data: A Comparative study Environmental Modelling and Software. 102: 29-38 |