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DOI: | 10.1002/csc2.20158 |
Web URL(s): | https://acsess.onlinelibrary.wiley.com/doi/10.1002/csc2.20158 Last checked: 11/25/2020 Requires: JavaScript Access conditions: Item is within a limited-access website https://acsess.onlinelibrary.wiley.com/doi/pdf/10.1002/csc2.20158 Last checked: 11/25/2020 Requires: PDF Reader Access conditions: Item is within a limited-access website |
Publication Type:
| Refereed |
Author(s): | Berndt, William L.;
Douglas, Karcher E.;
Richardson, Michael D. |
Author Affiliation: | Berndt: William Berndt Associates, Fort Meyers, FL; Karcher: Department of Horticulture, University of Arkansas; Richardson: Department of Horticulture, University of Arkansas, Fayetteville, AR |
Title: | Color-distance modeling improves differentiation of colors in digital images of hybrid bermudagrass |
Source: | Crop Science. Vol. 60, No. 4, July/August 2020, p. 2138-2148. |
Publishing Information: | Madison, Wisconsin: Crop Science Society of America |
# of Pages: | 11 |
Related Web URL: | https://acsess.onlinelibrary.wiley.com/doi/abs/10.1002/csc2.20158 Last checked: 01/28/2021 Notes: Abstract only |
Abstract/Contents: | "Identifying and reporting color differences is important in turfgrass experimentation. Finding ways to improve color differentiation may be desirable. Research was conducted to determine if color-distance modeling (ΔE*ab) improves differentiation of color in images of hybrid bermudagrass [Cynodon dactylon (L.) Pers. Œ Cynodon transvaalensis Burtt-Davy]. Colors differ perceptibly if ΔE*ab >1.0; magnitude of difference increases as ΔE*ab increases. Hue angle (Θ) and dark green color index (DGCI) of untreated shoots; shoots treated with petroleum hydrocarbons; and turf treated with N, herbicides, or a growth regulator were determined by digital image analysis. Hue and DGCI means were separated using orthogonal contrasts; ΔE*ab was computed for each contrast. Delta E*ab was a good predictor of color difference magnitude. Association between p-values for contrasts of Θ or DGCI and ΔE*ab were strong; smaller p-values corresponded to larger ΔE*ab. When log10 p-values for ? contrasts for Tifway turf treated with N, herbicides, and a growth regulator were regressed on ΔE*ab, r2 = .9657 (y = - 0.602 - 0.9512x); for DGCI, r2 = .8743 (y = - 1.6097 - 0.8743x). Computing ΔE*ab helped avoid making false conclusions. Neither Θ nor DGCI differed for Tifway treated with mesotrione or glyphosate (p = .2049, .6195) but ΔE*ab was 3.8 due to differences in saturation (p = .0137) and brightness (p = .0067). Computing ΔE*ab improved differentiation of turfgrass color by enhancing the accuracy of difference detection. Improving the ability to differentiate colors and avoidance of making false conclusions has advanced reporting of turfgrass color data." |
Language: | English |
References: | 18 |
Note: | Pictures, color Tables Graphs |
| ASA/CSSA/SSSA Citation (Crop Science-Like - may be incomplete): 2020. Color-distance modeling improves differentiation of colors in digital images of hybrid bermudagrass. Crop Sci. 60(4):p. 2138-2148. |
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| DOI: 10.1002/csc2.20158 |
| Web URL(s): https://acsess.onlinelibrary.wiley.com/doi/10.1002/csc2.20158 Last checked: 11/25/2020 Requires: JavaScript Access conditions: Item is within a limited-access website https://acsess.onlinelibrary.wiley.com/doi/pdf/10.1002/csc2.20158 Last checked: 11/25/2020 Requires: PDF Reader Access conditions: Item is within a limited-access website |
| MSU catalog number: b2211522a |
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