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| Web URL(s): | http://arkansasagnews.uark.edu/593.pdf#page=50
Last checked: 05/12/2015
Requires: PDF Reader
Notes: Item is within a single large file |
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| Publication Type:
| Report |
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| Author(s): | Young, Joey;
Richardson, Mike;
Karcher, Doug |
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| Author Affiliation: | Richardson and Karcher: Editor, Arkansas Turfgrass Report 2010; Richardson: Professor; Karcher: Associate Professor; Young, Richardson, and Karcher: University of Arkansas, Department of Horticulture, Fayetteville, Ark. |
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| Title: | Evaluating ball mark severity and recovery using digital image analysis |
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| Section: | Turf culture
Other records with the "Turf culture" Section
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| Source: | Arkansas Turfgrass Report 2010. April 2012, p. 50-55. |
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| Publishing Information: | Fayetteville, Arkansas: Arkansas Agricultural Experiment Station, University of Arkansas Division of Agriculture |
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| # of Pages: | 6 |
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| Keywords: | TIC Keywords: Agrostis stolonifera; Ball lie; Ball marks; Color evaluation; Golf greens; Image analysis; Injurious factors; Quality evaluation; Turf recovery
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| Abstract/Contents: | "Digital image analysis has been successfully used to evaluate turfgrass cover and color along with performance traits like golf ball lie, and allows researchers to obtain less subjective data in a timely manner. New studies at the University of Arkansas plan to evaluate ball mark severity and recovery of creeping bentgrass under various management regimes. Ball marks on putting greens may affect aesthetics and golf ball roll, so bentgrass cultivars that heal more quickly would be advantageous for golf course managers. The use of digital image analysis to obtain this data seemed appropriate, but specific methods need to be developed and studied to ensure effectiveness. A newly developed camera platform resulted in strong correlations between volume of a ball mark and ball mark severity calculated using digital image analysis. A pneumatic golf ball launcher was designed to fire golf balls from consistent height and angle necessary to determine if treatments vary in ball mark severity. Digital image analysis also proved successful in calculating recovery of ball marks over time using a cover analysis. The success of these methods in all areas confirms that digital image analysis can be used in ball mark studies." |
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| Language: | English |
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| References: | 6 |
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| Note: | "Research Series 593"
Summary appears as abstract
Pictures, color
Graphs |
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| ASA/CSSA/SSSA Citation (Crop Science-Like - may be incomplete):
Young, J., M. Richardson, and D. Karcher. 2012. Evaluating ball mark severity and recovery using digital image analysis. Ark. Turfgrass Rep. p. 50-55. |
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| Web URL(s):
http://arkansasagnews.uark.edu/593.pdf#page=50
Last checked: 05/12/2015
Requires: PDF Reader
Notes: Item is within a single large file |
| 
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