Full TGIF Record # 267195
Item 1 of 1
Web URL(s):https://scisoc.confex.com/crops/2015am/webprogram/Paper94264.html
    Last checked: 11/23/2015
Publication Type:
i
Report
Content Type:Abstract or Summary only
Author(s):McCall, David S.; Sullivan, Dana; Shelton, Camden D.
Author Affiliation:Shelton: Plant Pathology, Physiology, and Weed Science; McCall: Virginia Tech, Blackburg, VA; Sullivan: TurfScout, LLC., Greensboro, NC
Title:Mapping spring dead spot using visible and near infrared reflectance for precision management
Section:C05 turfgrass science
Other records with the "C05 turfgrass science" Section

Turfgrass science: II
Other records with the "Turfgrass science: II" Section
Meeting Info.:Minneapolis, Minnesota: November 15-18, 2015
Source:ASA, CSSA and SSSA International Annual Meetings. 2015, p. 94264.
Publishing Information:[Milwaukee, Wisconsin]: [American Society of Agronomy and the Entomological Society of America]
# of Pages:1
Keywords:TIC Keywords: Aerial mapping; Application timing; Cost efficiency; Cynodon; Disease surveys; Fungicide efficacy; Golf course maintenance; Infrared imagery; Spring dead spot; Tebuconazole
Abstract/Contents:"Successful management of bermudagrass in marginal regions of adaptation is limited by the development and persistence of spring dead spot (SDS). Patches frequently appear in the same locations from year to year, but are difficult to control. Fall applications of tebuconazole are common because it is economical and typically effective at suppressing SDS over time. Alternative active ingredients may have greater efficacy but are less viable options for fairway applications because of cost. The generation of maps to monitor SDS epidemics may be useful for precision turf management. Fungicide applications based on geographic severity can allow turf mangers to limit total treatable acreage and reduce costs. Additionally, such maps may help turf managers identify underlying problems that contribute to SDS, therefore increasing the probability of successful management with cultural practices. The objective of this research is to explore options for SDS mapping with equipment-mounted and aerial sensors. Ground truth data were collected in 2014 and 2015 from eleven fairway locations in Virginia and North Carolina by obtaining GPS coordinates of SDS patches by complete or systematic sampling. Reflectance data were continuously collected using a cart-mounted Holland Scientific ACS470 in the red (670nm) red-edge (730nm) and near-infrared NIR (760nm) and transformed using the ratio vegetation index (RVI: NIR/Red). Reflectance data were overlaid with SDS coordinates, with a random subset of ground truth samples retained for accuracy assessments. Aerial imagery was collected following data collection of two fairway locations with an unmanned aerial system (Inspire 1, DJI, Los Angeles, CA) and georectified with SDS coordinates. Ground-based and aerial imagery provided a rapid documentation of SDS epidemics on golf fairways."
Language:English
References:0
Note:This item is an abstract only!
"418-31"
"Poster Number 815"
ASA/CSSA/SSSA Citation (Crop Science-Like - may be incomplete):
McCall, D. S., D. Sullivan, and C. D. Shelton. 2015. Mapping spring dead spot using visible and near infrared reflectance for precision management. Agron. Abr. p. 94264.
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    Last checked: 11/23/2015
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