Full TGIF Record # 329817
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DOI:10.1002/csc2.20843
Web URL(s):https://acsess.onlinelibrary.wiley.com/doi/10.1002/csc2.20843
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Publication Type:
i
Refereed
Author(s):Berndt, William L.; Gaussoin, Roch E.
Author Affiliation:Berndt: William Berndt Associates, Fort Myers, FL; Gaussoin: Department of Agronomy and Horticulture, University of Nebraska-Lincoln, Lincoln, NE
Title:Predicting Munsell color for turfgrass leaves
Section:Turfgrass science
Other records with the "Turfgrass science" Section
Source:Crop Science. Vol. 63, No. 3, May/June 2023, p. 1566-1580.
Publishing Information:Madison, Wisconsin: Crop Science Society of America
# of Pages:15
Abstract/Contents:"Linking turfgrass color to hue, value, chroma (H V/C) in the Munsell Plant Tissue Color Book is a visual comparison process for specifying and communicating plant color. If subjectivity of visual comparison can be mitigated, then the accuracy of color matching may be improved. Research was conducted to develop an algorithm predicting H V/C from CIE-xyY color (xyY) in digital images of leaves of four turfgrasses. First, value-chroma (V/C) arrays for Munsell hue groups 5Y, 2.5GY, 5GY, 7.5GY, 10GY, and 2.5G were converted to xyY. Next, chromaticity (xy) plots from each array were fitted with 95% prediction bands. Then, xy points for leaves (N = 60) for each turfgrass were plotted versus prediction bands. The prediction interval containing the most leaf xy points specified leaf H. Pairing each V from each hue group (N = 98) with its corresponding Y regressing log10V on log10Y predicted leaf V from leaf Y (log10V = 0.0715 + 0.5303logY - 0.0332logY2). Pairing each C (N = 98) with its corresponding xy predicted leaf C from leaf xy (C = -11.6021 - 11.2908x + 48.0880y). Predicted H V/C for "Champion" and "TifEagle" hybrid bermudagrass [Cynodon dactylon (L.) Pers. var. dactylon × Cynodon transvaalensis Burtt-Davy] was 10GY 8/4 and 7.5GY 8/4 mirroring H V/C predicted from xyY using open-source algorithms in R and Python. The experimental algorithm predicted H V/C accurately, and objectively advancing the way turfgrass color is specified and communicated. Specifying turfgrass color in situ could be possible by interfacing the algorithm with smartphone technology."
Language:English
References:39
Note:Pictures, color
Figures
Tables
Graphs
ASA/CSSA/SSSA Citation (Crop Science-Like - may be incomplete):
Berndt, W., and R. E. Gaussoin. 2023. Predicting Munsell color for turfgrass leaves. Crop Sci. 63(3):p. 1566-1580.
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DOI: 10.1002/csc2.20843
Web URL(s):
https://acsess.onlinelibrary.wiley.com/doi/10.1002/csc2.20843
    Last checked: 06/29/2023
    Access conditions: Item is within a limited-access website
https://acsess.onlinelibrary.wiley.com/doi/epdf/10.1002/csc2.20843
    Last checked: 06/29/2023
    Access conditions: Item is within a limited-access website
https://acsess.onlinelibrary.wiley.com/doi/pdfdirect/10.1002/csc2.20843
    Last checked: 06/29/2023
    Requires: PDF Reader
    Access conditions: Item is within a limited-access website
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