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Predicting Munsell color for turfgrass leaves
Crop Science ( IF 2.0 ) Pub Date : 2022-09-14 , DOI: 10.1002/csc2.20843
William L. Berndt 1 , Roch E. Gaussoin 2
Affiliation  

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.

中文翻译:

预测草坪草叶子的孟塞尔颜色

在 Munsell Plant Tissue Color Book 中将草坪颜色与色调、明度、色度 (HV/C) 联系起来是一种用于指定和传达植物颜色的视觉比较过程。如果可以减轻视觉比较的主观性,则可以提高配色的准确性。进行了研究以开发一种算法,该算法根据四种草坪草叶子的数字图像中的CIE- xyY颜色 ( xyY )预测 HV/C 。首先,将孟塞尔色相组 5Y、2.5GY、5GY、7.5GY、10GY 和 2.5G 的值色度 (V/C) 数组转换为xyY。接下来,每个阵列的色度 ( xy ) 图都配有 95% 的预测带。那么绘制了每种草坪草的叶子点 (N = 60) 与预测带。包含指定叶 H 的最多叶xy点的预测区间。将来自每个色调组 (N = 98) 的每个 V 与其相应的Y回归 log 10 V 配对,在 log 10 Y上预测来自叶Y的叶 V (log 10 V = 0.0715 + 0.5303log Y – 0.0332log Y 2 )。将每个 C (N = 98) 与其对应的xy配对,从叶xy ( C = −11.6021 − 11.2908 x + 48.0880 y). “Champion”和“TifEagle”杂交百慕大草的预测 HV/C [ Cynodon dactylon (L.) Pers。变种。dactylon × Cynodon transvaalensis Burtt-Davy] 是 10GY 8/4 和 7.5GY 8/4 镜像 HV/C,使用RPython中的开源算法从xyY预测。实验算法准确地预测了 HV/C,并客观地推进了草坪草颜色的指定和传达方式。通过将算法与智能手机技术连接起来,可以就地指定草坪颜色。
更新日期:2022-09-14
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