Full TGIF Record # 333352
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Web URL(s):https://scisoc.confex.com/scisoc/2023am/meetingapp.cgi/Paper/148264
    Last checked: 11/29/2023
Publication Type:
Content Type:Abstract or Summary only
Author(s):Roberson, Travis L.; McCall, David S.; Straw, Chase M.; Sandor, Daniel; Shafian, Sanaz; Thompson, Cole S.
Author Affiliation:Roberson: Presenting Author and Plant Pathology, Physiology, and Weed Science, Virginia Tech, Midlothian, VA; McCall and Shafian: School of Plant and Environmental Sciences, Virginia Tech, Blacksburg, VA; Straw: Soil and Crop Sciences, Texas A&M University, College Station, TX; Sandor: Virginia Tech, Blacksburg, VA; Thompson: Green Section Research, United States Golf Association, Dallas, TX
Title:Estimating golf course irrigation efficiency using thermal aerial imagery
Section:Turfgrass water conservation and management oral (includes student competition)
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C05 turfgrass science
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Meeting Info.:St. Louis, Missouri: October 29-November 1, 2023
Source:ASA, CSSA, SSSA International Annual Meeting. 2023, p. 148264.
Publishing Information:[Madison, Wisconsin]: [American Society of Agronomy, Crop Science Society of America, and Soil Science Society of America]
# of Pages:1
Abstract/Contents:"Much of the global supply of freshwater is needed to food production and other vital agricultural commodities to meet the needs of an expanding global human population. Turfgrass systems used for aesthetic and recreational purposes deplete more water than necessary. Turfgrass professionals have adopted several strategies to reduce irrigation needs that have reduced consumption by 6.44 trillion liters annually. However, ensuring the distribution uniformity (DU) of an irrigation system is often overlooked as a water-saving strategy because it is a time-consuming practice. Therefore, the objective of this study is to develop a more efficient method to monitor the DU of a golf course irrigation system using drone thermal imagery to optimize water consumption on golf courses. Aerial thermal imagery and traditional catch-can audits used for ground validation were collected from four bermudagrass putting greens and tees at the Virginia Tech Research Short Course at Independence Golf Club in Midlothian, Virginia. Orbit B-Hyve catch-cans with an opening area of 114.26 cm2 were placed on a 3m x 3m spatial distribution with an average of 67 catch cans per location used. A Mavic 3T drone equipped with a 640 x 512 DJI thermal lens mapped the areas immediately after a recommended irrigation cycle of 10 minutes for greens and 20 minutes for tees. The correlation of aerial thermal values to ground-validation data was modeled using the approximately 360 thermal pixel values averaged within a 1.5m radius around and water collected within each individual catch can. The DU was higher for tee locations (0.86-0.90) compared to greens (0.76-0.84) which led to a higher correlation coefficient for greens (r2 = 0.54-0.68) compared to tees (r2 = 0.16-0.40)."
This item is an abstract only!
ASA/CSSA/SSSA Citation (Crop Science-Like - may be incomplete):
Roberson, T. L., D. S. McCall, C. M. Straw, D. Sandor, S. Shafian, and C. S. Thompson. 2023. Estimating golf course irrigation efficiency using thermal aerial imagery. Agron. Abr. p. 148264.
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    Last checked: 11/29/2023
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