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Web URL(s): | https://scisoc.confex.com/scisoc/2019am/meetingapp.cgi/Paper/121904 Last checked: 12/06/2019 Requires: JavaScript |
Publication Type: | Report |
Content Type: | Abstract or Summary only |
Author(s): | McCall, David S.; Booth, Jordan; Sullivan, Dana |
Author Affiliation: | McCall: School of Plant and Environmental Sciences, Virginia Tech, Blacksburg, VA; Booth: Plant Pathology, Physiology, and Weed Science, Virginia Tech, Moseley, VA; Sullivan: TurfScout, LLC., Greensboro, NC |
Title: | Effective utilization of aerial imagery and GPS technologies for site-specific turf management |
Section: | C05 turfgrass science Other records with the "C05 turfgrass science" Section Digital technologies in turfgrass: The promise, development and application Other records with the "Digital technologies in turfgrass: The promise, development and application" Section |
Meeting Info.: | San Antonio, Texas: November 10-13, 2019 |
Source: | ASA, CSSA and SSSA International Annual Meetings. 2019, p. 121904. |
Publishing Information: | [Madison, Wisconsin]: [American Society of Agronomy, Crop Science Society of America, and Soil Science Society of America] |
# of Pages: | 1 |
Keywords: | TIC Keywords: Aerial mapping; Cynodon dactylon; Disease control; Disease incidence; Fungicide application; GPS; Geographical distribution; Image analysis; Site-specific management; Spring dead spot; Unmanned aerial vehicles |
Cultivar Names: | Vamont |
Abstract/Contents: | "Small unmanned aerial systems (sUAS) provide rapid and inexpensive aerial imagery of large acreage. Advances in the utilization of this digital technology provide opportunities to improve site-specific turf management and maximize the efficiency for cultural and chemical inputs on turf. An example of successful implementation of aerial imagery is our recent advancement in managing spring dead spot (SDS), a reoccurring disease of bermudagrass (Cynodon spp.). Disease incidence maps created with aerial imagery can help target site-specific fungicide applications based on geographic distribution to limit total pesticide usage. Digital image analysis (DIA) can improve decision making in identifying disease incidence, accuracy, and precision of fungicide applications. Research objectives in our studies included development of methods to map, analyze, and quantify SDS epidemics, while evaluating the effectiveness of site-specific fungicide applications. Aerial DIA was used to create disease incidence maps in spring 2016 and 2017 from five 'Vamont' bermudagrass fairways with a history of SDS. Treatments were arranged in a completely randomized design across twenty replicated 33 m2 plots to include 1) untreated 2) full-coverage tebuconazole (1.2 kg ai ha-1), 3) full-coverage penthiopyrad (1.07 kg ai ha-1), and 4) site-specific penthiopyrad (1.07 kg ai ha-1.) Fall treatments were initiated when soil temperatures reached 21°C. Site-specific treatments reduced fungicide usage by 51% in 2016 and 65% in 2017 while providing statistically equivalent suppression when compared to full-coverage plots. This research demonstrates how aerial data acquisition, DIA, and GPS technologies may be used collectively to provide a practical impact on turf management and serve as a template for additional development of site-specific practices." |
Language: | English |
References: | 0 |
Note: | This item is an abstract only! "204-3" |
ASA/CSSA/SSSA Citation (Crop Science-like – may be incomplete): | McCall, D. S., J. Booth, and D. Sullivan. 2019. Effective utilization of aerial imagery and GPS technologies for site-specific turf management. Agron. Abr. p. 121904. |
Fastlink to access this record outside TGIF: | http://tic.msu.edu/tgif/flink/RECNO/309604 |
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Web URL(s) : | https://scisoc.confex.com/scisoc/2019am/meetingapp.cgi/Paper/121904 Last checked: 12/06/2019 Requires: JavaScript |
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