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| Web URL(s): | https://www.dl.sciencesocieties.org/publications/cs/articles/43/3/943
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https://www.dl.sciencesocieties.org/publications/cs/pdfs/41/3/943
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| Publication Type:
| Refereed |
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| Author(s): | Karcher, Douglas E.;
Richardson, Michael D. |
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| Author Affiliation: | Department of Horticulture, University of Arkansas, Fayetteville, Arkansas |
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| Title: | Quantifying turfgrass color using digital image analysis |
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| Section: | Turfgrass science
Other records with the "Turfgrass science" Section
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| Source: | Crop Science. Vol. 43, No. 3, May/June 2003, p. 943-951. |
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| Publishing Information: | Madison, WI: Crop Science Society of America |
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| # of Pages: | 9 |
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| Keywords: | TIC Keywords: Color; Software; Zoysia japonica; Agrostis stolonifera; Cynodon; Visual evaluation; Analytical methods
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| Trade Names: | SigmaScan |
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| Abstract/Contents: | "Color is a major component of the aesthetic quality of turf and often evaluated in field studies. Digital image analysis may be an improved, objective method to quantify turf color. Studies were conducted to determine if digital image analysis with SigmaScan software (SPSS, Chicago, IL) was capable of: (i) accurately determining the hue, saturation, and brightness (HSB) levels of Munsell Plant Tissue color chips, (ii) quantifying visual color differences among zoysiagrass (Zoysia japonica Steud.) and creeping bentgrass {Agrostis palustris Huds. [= A. stolonifera var. palustris (Huds.) Farw.]} plots receiving various N treatments, and (iii) quantifying genetic color differences among bermudagrass (Cynodon spp.) cultivars. Digital images of turf plots were analyzed with SigmaScan software to determine average HSB levels for each image. A dark green color index (DGCI) was created from HSB values for direct comparison with visual ratings. Digital image analysis accurately quantified the HSB levels (r2 = 0.99, 0.96, and 0.97, respectively) of Munsell color chips corresponding to turf colors. Significant HSB differences were present among N treatments in creeping bentgrass, while only significant hue differences existed in zoysiagrass. Significant hue and saturation differences were present among bermudagrass cultivars. There was strong agreement between DGCI values and visual ratings. The relative variances of the HSB and DGCI were significantly less than the variance associated with multiple raters. This evaluation technique may facilitate objective comparisons of turf color across researchers, locations, and years when images are collected under equal lighting conditions (i.e., the use of an artificial light source at night or in an enclosed system)." |
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| Language: | English |
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| References: | 22 |
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| Note: | Reprint appears on Seed Research of Oregon website, May/June 2003, p. 1-9
Pictures, color
Tables
Graphs |
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| ASA/CSSA/SSSA Citation (Crop Science-Like - may be incomplete):
Karcher, D. E., and M. D. Richardson. 2003. Quantifying turfgrass color using digital image analysis. Crop Sci. 43(3):p. 943-951. |
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| Web URL(s):
https://www.dl.sciencesocieties.org/publications/cs/articles/43/3/943
Last checked: 05/05/2017
Access conditions: Item is within a limited-access website
https://www.dl.sciencesocieties.org/publications/cs/pdfs/41/3/943
Last checked: 05/05/2017
Requires: PDF Reader
Access conditions: Item is within a limited-access website |
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MSU catalog number: SB 183 .C7 |
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