2007
DOI: 10.1016/j.jfoodeng.2006.11.013
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Effect of orientation on the fruit on-line size determination performed by an optical ring sensor

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Cited by 10 publications
(5 citation statements)
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“…Moreda et al (2005) determined optimal levels of speed and passage zone for an on-line size determination system comprising an optical ring sensor and a singulator made of two angled belts. In a subsequent work, Moreda et al (2007), working on tomato and kiwifruit, analyzed the effect of fruit orientation on the precision of measurements obtained using the optical ring sensor. Controlled vs random orientations were compared.…”
Section: Systems Based On Measuring the Volume Of The Gap Between Thementioning
confidence: 99%
“…Moreda et al (2005) determined optimal levels of speed and passage zone for an on-line size determination system comprising an optical ring sensor and a singulator made of two angled belts. In a subsequent work, Moreda et al (2007), working on tomato and kiwifruit, analyzed the effect of fruit orientation on the precision of measurements obtained using the optical ring sensor. Controlled vs random orientations were compared.…”
Section: Systems Based On Measuring the Volume Of The Gap Between Thementioning
confidence: 99%
“…This method stays in the theoretical research stage and is rarely used in the actual production. Another method is to use the orientation righting device which fits the inherent geometry structure of the fruit (Li, Ma, Cheng, Chen, & Qing, 2014; Moreda, Ortiz‐Cañavate, Garcia‐Ramos, & Ruiz‐Altisent, 2007; Wang, Liang, Min, Liu, & Wang, 2012). This kind of orientation righting device has the high efficiency and can achieve the mass production, but the centering time is long, the structure of the whole machine is complex and the maintenance cost is high in the later stage.…”
Section: Introductionmentioning
confidence: 99%
“…However, the majority of these fruit-grading systems for tomatoes is often cumbersome, only available for off-vine fruit measurement, and cannot be used for in situ measurement of on-vine tomato fruits. With the development of image sensing and processing techniques, the measurement of fruit size could be conducted based on machine-vision technique [1,[10][11][12]. One method for size measurement of fruits was to use the area occupying fruit and an equivalent circle diameter after binarization based on the color information [13].…”
Section: Introductionmentioning
confidence: 99%
“…Performance of best PLS models built individually for cultivars 1, 2, 3 and for mixed spectra collected from across the whole growing stages Although it is successful to establish models for tomato size prediction using PLSR models, the prediction accuracy is still low. Table 2 also shows large number of LVs(10)(11)(12)(13)(14)(15)(16)(17)(18)(19)(20) needed to establish PLSR models. These high dimensional data structures may not be dealt well with linear calibration methods like PLSR.…”
mentioning
confidence: 99%