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Academic literature on the topic 'Orange (Color)'
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Journal articles on the topic "Orange (Color)"
1
Al-Sammarraie, Mustafa Ahmed Jalal, Łukasz Gierz, Krzysztof Przybył, et al. "Predicting Fruit’s Sweetness Using Artificial Intelligence—Case Study: Orange." Applied Sciences 12, no. 16 (2022): 8233. http://dx.doi.org/10.3390/app12168233.
Full textAbstract:
The manual classification of oranges according to their ripeness or flavor takes a long time; furthermore, the classification of ripeness or sweetness by the intensity of the fruit’s color is not uniform between fruit varieties. Sweetness and color are important factors in evaluating the fruits, the fruit’s color may affect the perception of its sweetness. This article aims to study the possibility of predicting the sweetness of orange fruits based on artificial intelligence technology by studying the relationship between the RGB values of orange fruits and the sweetness of those fruits by using the Orange data mining tool. The experiment has applied machine learning algorithms to an orange fruit image dataset and performed a comparative study of the algorithms in order to determine which algorithm has the highest prediction accuracy. The results showed that the value of the red color has a greater effect than the green and blue colors in predicting the sweetness of orange fruits, as there is a direct relationship between the value of the red color and the level of sweetness. In addition, the logistic regression model algorithm gave the highest degree of accuracy in predicting sweetness.
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Oka, Ryohei, Jun-ichi Koyama, Takuro Morimoto, and Toshiyuki Masui. "Novel Orange Color Pigments Based on La3LiMnO7." Molecules 26, no. 20 (2021): 6243. http://dx.doi.org/10.3390/molecules26206243.
Full textAbstract:
La3LiMn1−xTixO7 (0 ≤ x ≤ 0.05) samples were synthesized by a solid-state reaction method, and a single-phase form was observed for the samples in the range of x ≤ 0.03. Crystal structure, optical properties, and color of the La3LiMn1−xTixO7 (0 ≤ x ≤ 0.03) samples were characterized. Strong optical absorption was observed at a wavelength between 400 and 550 nm, and a shoulder absorption peak also appeared around 690 nm in all samples; orange colors were also exhibited. Among the samples synthesized, the most brilliant orange color was obtained at La3LiMn0.97Ti0.03O7. The redness (a*) and yellowness (b*) values of this pigment were higher than those of the commercially available orange pigments. Therefore, the orange color of this pigment is brighter than those of the commercial products. Since the La3LiMn0.97Ti0.03O pigment is composed of non-toxic elements, it could be a new environmentally friendly inorganic orange pigment.
3
Fisher, Anna Watkins. "Safety Orange." Journal of Visual Culture 20, no. 1 (2021): 3–24. http://dx.doi.org/10.1177/1470412921994603.
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Safety Orange first emerged as a legal color standard in the US in the 1950s in technical manuals and federal regulations; today, it is most visible in the contexts of terror, pandemic, and environmental alarm systems; traffic control; work safety; and mass incarceration. The color is a marker of the extreme poles of state oversight and abandonment, of capitalist excess and dereliction. Its unprecedented saturation encodes the tracking of those bodies, neighborhoods, and infrastructures coded as worthy of care – and those deemed dangerous and expendable. This article uses the color orange as an interpretive key for theorizing the uneven distribution of safety and care in 21st-century US public life and to ponder what orange tells us about the relationship between phenomena often viewed as unrelated: information networks, climate data science, pandemic crisis, neoliberal policy, racist violence, and socially engaged art.
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Shim, Eun Ji, and Won-Ji Jung. "Color Change based on Mixing Ratio of Acidic Hair Dye by Hair Brightness." Asian Journal of Beauty and Cosmetology 21, no. 4 (2023): 615–27. http://dx.doi.org/10.20402/ajbc.2023.0064.
Full textAbstract:
Purpose: This study seeks to examine the difference in color change depending on the mixing ratio of acidic hair dye and hair brightness and provide baseline data on the color change of hair dye using acidic hair dye.Methods: Gray, ash blue, pink, and orange colors were used alone, mixed with gloss in transparent color in the ratio of 1:1, 1:10, and 1:20, and were applied to unbleached hair, once, twice, and three times bleached hair, respectively, and color images were taken. The L<sup>*</sup>a<sup>*</sup>b<sup>*</sup> values were measured using a spectrophotometer, and their average value was obtained.Results: It was found that when acidic hair dye was used alone, hair was less bright and more saturated. Brightness increased more when acidic hair dye was mixed with transparent shimmering gloss. Also, when dyeing with pink and orange colors, it was possible to express the desired color on once-bleached hair even with a high value of yellow color. Bright grey and ash-blue color could be expressed when the gray color was bleached three times. For the pink color, high saturation could be expressed on once-bleached hair. For orange color, it was found that various orange colors could be expressed.Conclusion: This study is meaningful in that it enhances customers’ satisfaction with hair coloring and increases the efficiency of hair dyeing service by minimizing the error between the objective color desired by the designer and the customer, and the resulting color.
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Pike, Leonard M. "`Betasweet', Carrot Designed for Flavor, Nutrition, and Health." HortScience 33, no. 3 (1998): 457e—458. http://dx.doi.org/10.21273/hortsci.33.3.457e.
Full textAbstract:
`BetaSweet' is a new “designer” carrot that was conceived as a research project with the objective to create a new high-quality vegetable with unique characteristics. The gene responsible for purple or maroon color in carrots is a natural one and has been around for many years. Carrot breeders have discarded carrots that occasionally segregated to this color because orange has been the preferred traditional color. In 1989, three carrots grown from Brazilian seed were observed to have a blotchy maroon color mixed with the normal orange. Within two generations of breeding effort, I had obtained a few carrot roots with near-complete maroon exterior color and orange interior. The contrast of orange and maroon was very attractive in carrots cut as coins or sticks. The maroon and orange color would serve as the perfect way to identify and promote this new variety. Several additional generations were required using extensive laboratory testing for low terpenoids (strong carrot flavors), high sugars, high carotene, and crispy texture. Thousands of carrot roots were analyzed and selected for those qualities and for the dark maroon exterior and orange interior colors. The few best for those characteristics were intercrossed, and re-selected for their adaptation when grown under Texas climatic conditions.
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Pike, Leonard M. "`Betasweet' Carrot Designed for Flavor, Nutrition, and Health." HortScience 33, no. 4 (1998): 596a—596. http://dx.doi.org/10.21273/hortsci.33.4.596a.
Full textAbstract:
`BetaSweet' is a new “designer” carrot that was conceived as a research project with the objective to create a new high-quality vegetable with unique characteristics. The gene responsible for purple or maroon color in carrots is a natural one and has been around for many years. Carrot breeders have discarded carrots which occasionally segregated to this color because orange has been the preferred traditional color. In 1989, three carrots grown from Brazilian seed were observed to have a blotchy maroon color mixed with the normal orange. Within two generations of breeding effort I had obtained a few carrot roots with near complete maroon exterior color and orange interior. The contrast of orange and maroon was very attractive in carrots cut as coins or sticks. The maroon and orange color would serve as the perfect way to identify and promote this new variety. Several additional generations were required using extensive laboratory testing for low terpenoids (strong carrot flavors), high sugars, high carotene, and crispy texture. Thousands of carrot roots were analyzed and selected for those qualities and for the dark maroon exterior and orange interior colors. The few best for those characteristics were intercrossed, and reselected for their adaptation when grown under Texas climatic conditions.
7
Dan Turner, Jonathan Dan, Carole J. Simmons, and Johnny R. Graham. "High-Visibility Clothing for Daytime Use in Work Zones." Transportation Research Record: Journal of the Transportation Research Board 1585, no. 1 (1997): 1–8. http://dx.doi.org/10.3141/1585-01.
Full textAbstract:
High-visibility safety clothing serves an important role in protection of personnel in highway construction. A total of 236 fatalities in highway and street construction were reported for 1992–1993 by the Laborers’ Health and Safety Fund of North America, which puts the fatality rate of private-industry highway construction at twice that of other private-industry construction. A field study was conducted to determine the most conspicuous color of safety clothing for daytime use in the work zone. The 11 colors studied included 8 fluorescent (F1) colors (green, yellow-green, yellow, yellow-orange, red-orange, a combination of red-orange with yellow-green, red mesh over white background, and pink), two non-fluorescent colors (yellow and orange), and one semifluorescent color (yellow). Subjects were required to look through a shutter, which opened for 300 msec at 30.5-m intervals, as the researcher drove 32 km/hr toward a work zone. Subjects were instructed to indicate the point at which they first identified safety clothing in the scene. These detection distances were recorded for each color in each of four work zones. F1 red-orange was found to have the highest mean detection distance, and it was significantly different from every color except the F1 red mesh, F1 yellow-green, and F1 red-orange/F1 yellow-green combination. Each of these colors is recommended for use in safety garments with the exception of F1 red mesh, because the mesh may not perform well if worn over darker clothing.
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Pan, Zhi Bin, and Xiao Yan Wei. "Computer Vision Based Orange Grading Using SVM." Applied Mechanics and Materials 303-306 (February 2013): 1134–38. http://dx.doi.org/10.4028/www.scientific.net/amm.303-306.1134.
Full textAbstract:
Fruit grading is very important for promoting its additional value. We graded oranges based on its images. Four photos were taken from different view angles for each orange. Both RGB and HSI color model were utilized. We extracted a 28-dimensional feature which can describe the size and color of them. Then support vector machine was used to grade these oranges into four levels. Experimental result shows SVM has promising performance for orange grading.
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Saefudin and E. Basri. "Effect of fixator on color performance of bark extract from three tropical wetland species for fabric dye." IOP Conference Series: Earth and Environmental Science 976, no. 1 (2022): 012049. http://dx.doi.org/10.1088/1755-1315/976/1/012049.
Full textAbstract:
Abstract Fixation is a stage in dyeing fabric or batik fabric with natural dyes to obtain the desired color and bind the color so that it does not fade quickly due to sweat, washing, sunray, and rubbing. Three fixators used as color binders were alum (Al2[SO4]3), lime (CaCO3), and tunjung (FeSO4). Each material showed a different color on each extract. This activity aimed to observe the color performance of bark extracts from three wetland species applied to batik fabric with 1 or 2 combinations of fixators. The results showed the color performance of batik fabric depended on the bark of tree species and the kind of fixator. The performance of bark extract with fixators produced darker and sharper colors than without the use of fixators. The application of lime on Rhizophora apiculata Bl. bark extract produced dark moderate orange color, while the combination of lime and tunjung produced very dark orange (Brown tone). The combination of lime and tunjung on Acacia mangium Willd and the Terminalia catappa L. barks gave a dark moderate orange color with different intensities. In contrast, the combination of alum and tunjung on Terminalia catappa L. bark extract produced a very dark greyish orange color.
10
Henderson, Warren R., Gregory H. Scott, and Todd C. Wehner. "Interaction of Genes for Flesh Color in Watermelon." HortScience 31, no. 4 (1996): 602d—602. http://dx.doi.org/10.21273/hortsci.31.4.602d.
Full textAbstract:
Watermelon [Citrullus lanatus (Thunb.) Matsum. & Nakai] flesh color is controlled by several genes to produce red, canary yellow, salmon yellow, and orange. Our objective was to study the interaction of three gene loci with two or three alleles at each C (canary yellow vs. red), y (salmon yellow vs. red), yo (orange), and i (inhibitory to C permitting Y to produce red flesh color). Five crosses were used to study gene action: `Yellow Baby' × `Sweet Princess', `Yellow Baby' × `Tendersweet Orange Flesh', `Yellow Baby' × `Golden Honey', `Yellow Doll' × `Tendersweet Orange Flesh', and `Yellow Doll' × `Golden Honey'. Based on the performance of six generations (PA, PB, F1, F2, BC1A, and BC1B), the parents had the following genotypes: `Yellow Baby' = CCYYII, `Yellow Doll' = CCYYII, `Sweet Princess' = ccYY ii, `Tendersweet Orange Flesh' = ccyoyoII, and `Golden Honey' = ccyyII. Segregation of flesh colors in the progeny of the five families demonstrated that there was a multiple allelic series at the y locus, where YY (red) was dominant to yo yo (orange) and yy (yellow). Also, yoyo was dominant to yy. In conclusion, epistasis is involved in genes for the major flesh colors in watermelon, with ii inhibitory to CC (Canary), resulting in red flesh, and CC in the absence of ii epistatic to YY, producing canary flesh.