Abstract:The colour of subjectively-chosen tomato fruit of three contrasting cultivars at each of five stages of ripeness were measured on a tri-stimulus colour difference meter. The values were introduced into a formula previously developed for calculating objective limits for each ripening stage, but satisfactory separations were not achieved. When the colour components for areas on the side-walls of tomatoes were introduced into a revised formula, good discrimination was achieved between classes of fruit from fairly… Show more
“…Predictive models were developed for change in tomato color during ripening as affected by ripening treatment, temperature and duration. Although previous models have been developed (Thorne and Alvarez, 1982;Hobson et al, 1983;Dixon and Hobson, 1984) this is the first report to predict color components (value, hue, chroma) and the first report adapting these models to sensory perception. The equations developed reasonably estimate marketability for vine-ripened tomatoes but do not provide adequate estimates for ethylene-treated tomatoes.…”
Section: Implications For the Postharvest Handling Systemmentioning
confidence: 99%
“…An index for assessing ripening stage during postharvest maturation has been developed by Hobson et al (1983) and later refined (Dixon and Hobson, 1984). Mathematical models have been reported to predict changes in the a/b ratio as affected by temperature (Thorne and Alvarez, 1982) and gaseous composition in a modified atmosphere (Yang and Chinnan, 1987) during tomato ripening.…”
Vine-ripened and ethylene-treated tomatoes (cv. 'Sunny') were ripened at 15, 18, 21, and 25°C and evaluated for color using a colorimeter. Computer models were developed from the objective data to predict changes in color components (value, hue angle, chroma). Computer-predicted results were then converted to sensory equivalent scores to provide a basis for quality management of tomatoes within a handling and distribution system. The models obtained reasonably estimated changes in vine-ripened tomatoes (cv. 'Flora-Dade') ripened at 15, 21, and 2S"C, but were less successful at predicting changes in ethylene-treated fruit.
“…Predictive models were developed for change in tomato color during ripening as affected by ripening treatment, temperature and duration. Although previous models have been developed (Thorne and Alvarez, 1982;Hobson et al, 1983;Dixon and Hobson, 1984) this is the first report to predict color components (value, hue, chroma) and the first report adapting these models to sensory perception. The equations developed reasonably estimate marketability for vine-ripened tomatoes but do not provide adequate estimates for ethylene-treated tomatoes.…”
Section: Implications For the Postharvest Handling Systemmentioning
confidence: 99%
“…An index for assessing ripening stage during postharvest maturation has been developed by Hobson et al (1983) and later refined (Dixon and Hobson, 1984). Mathematical models have been reported to predict changes in the a/b ratio as affected by temperature (Thorne and Alvarez, 1982) and gaseous composition in a modified atmosphere (Yang and Chinnan, 1987) during tomato ripening.…”
Vine-ripened and ethylene-treated tomatoes (cv. 'Sunny') were ripened at 15, 18, 21, and 25°C and evaluated for color using a colorimeter. Computer models were developed from the objective data to predict changes in color components (value, hue angle, chroma). Computer-predicted results were then converted to sensory equivalent scores to provide a basis for quality management of tomatoes within a handling and distribution system. The models obtained reasonably estimated changes in vine-ripened tomatoes (cv. 'Flora-Dade') ripened at 15, 21, and 2S"C, but were less successful at predicting changes in ethylene-treated fruit.
“…Color is one of the principal factors which determines the degree of consumer acceptance of tomatoes. Important changes take place during ripening in the chlorophyll (green), lycopene (red) and beta-carotene (orange) contents of the fruit (Davies and Hobson 1981) and various stages of development can be differentiated according to the external color (Hobson et al 1983; Dixon and Hobson 1984;Riquelme 1995).…”
R e evolution offruit color of twelve tomato (Lycopersicon esculentum Mill.) cultivars during ripening was evaluated. Final color of each of the cultivars was determined by calculating its fresh tomato color index (rCIf). Luminosity &*), red-green component (a*), a*/b* ratio, hue angle (h*), dominant wavelength (OW) and fresh tomato color index (TCIf) were the parameters that best differentiated the ripening stages of tomato fruit. Dominant wavelength and purity of excitation were correlated with a* and b*. Fresh tomato color index (TCIf) was related to the luminosity &*) and yellow-blue component @I*).
“…The perception of food commonly starts from visual observation, and its acceptance relies on its color (Francis 1977). Visual inspection of brown-muffins has been carried out by instrumental assessment of the top surface color using a difference meter that can spectrally approximate eye function in terms of "L", "a" and "b" values (Dixon and Hobson 1984). The desirable color of brown-muffins, as indicated by L, a and b values, falls in the range of 47.55 to 42.27, -6.93 to -8.67 and 19.17 to 17.27 respectively (Adam 1996).…”
Section: Quality Color Standards Of Brown-muffinmentioning
Muffins were evaluated for color by visual examination and by development of a machine-reading system coupled with disrriminant analysis of the data acquired. A classification algorithm separated light from dark-colored muffins. The system's precision was assessed by evaluating the color of 4 cm diameter muffins pregraded prior to the evaluation of color and without pregrading. Applied to 200 samples, the automated system was able to correctb classifi 96% of the pregraded and 79% of the ungraded mufins. The algorithm procedure was able to classifi muffins at an accuracy level better than 88% in most cases whereas quality decisions among inspectors varied by 20 to 30%. Critical to precision by the machine-read procedure was control of the illumination.
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