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| Web URL(s): | https://scisoc.confex.com/scisoc/2021am/meetingapp.cgi/Pap134083 Last checked: 04/01/2022 Requires: JavaScript |
| Publication Type: | Report |
| Content Type: | Abstract or Summary only |
| Author(s): | Henderson, Caleb A.; McCall, David S. |
| Author Affiliation: | School of Plant and Environmental Sciences, Virginia Tech, Blacksburg, VA |
| Title: | Methods for estimating dollar spot at varying altitudes of aerial imagery |
| Section: | C05 turfgrass science Other records with the "C05 turfgrass science" Section Turfgrass pest management poster: Diseases, insects, weeds (includes student competition) Other records with the "Turfgrass pest management poster: Diseases, insects, weeds (includes student competition)" Section |
| Meeting Info.: | Salt Lake City, Utah: November 7-10, 2021 |
| Source: | ASA, CSSA and SSSA International Annual Meetings. 2021, p. 134083. |
| Publishing Information: | [Madison, Wisconsin]: [American Society of Agronomy, Crop Science Society of America, and Soil Science Society of America] |
| # of Pages: | 1 |
| Abstract/Contents: | "Dollar spot (Clarireedia spp.) is a devasting disease of warm- and cool-season amenity turfgrasses for much of the growing season. Most turfgrass professionals routinely treat high-value acreage with preventative fungicides. While excessive dollar spot development can cause widespread blighting across large areas, previous reports have indicated that the disease commonly occurs in clusters, particularly during early stages of an epidemic. Small unmanned aerial vehicles (sUAVs) or drones could potentially be used to map dollar spot epidemics across large turfgrass stands for a better understanding of the spatial and temporal distribution. However, the acceptable altitude for detecting dollar spot is not known. A ground-validation study was conducted to assess the ability to detect dollar spot at five heights on two creeping bentgrass golf course fairways in Radford VA. Twenty-one 1 m-2 PVC plots were placed across fairways in areas with variable dollar spot intensity. All plots were rated visually at ground level for the number of dollar spot infection centers and estimated percent disease. True colour images [add pixels] were collected at nadir from altitudes of 15, 30, 45, 60, and 90 meters above ground level using a DJI Phantom 4 Pro. Images were subjected digital analysis techniques to determine the impact of altitude on quantifying dollar spot. We found that altitude did not impact certain methods to quantify percent diseased area, but that methods used to count disease incidence quickly became unreliable at increasing heights. These methods are useful as validation of a rapid assessment tool that will help improve our understanding of dollar spot epidemics and management." |
| Language: | English |
| References: | 0 |
| Note: | "Poster # 1245" Section "159" This item is an abstract only! |
| ASA/CSSA/SSSA Citation (Crop Science-like – may be incomplete): | Henderson, C. A., and D. S. McCall. 2021. Methods for estimating dollar spot at varying altitudes of aerial imagery. Agron. Abr. p. 134083. |
| Fastlink to access this record outside TGIF: | http://tic.msu.edu/tgif/flink/RECNO/317161 |
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| Web URL(s) : | https://scisoc.confex.com/scisoc/2021am/meetingapp.cgi/Pap134083 Last checked: 04/01/2022 Requires: JavaScript |
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