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A Color Vision System for Peach Grading

Published by the American Society of Agricultural and Biological Engineers, St. Joseph, Michigan

Citation:  Transactions of the ASAE. 32 (4): 1484-1490. (doi: 10.13031/2013.31177) @1989
Authors:   Byron K. Miller, Michael J. Delwiche

ABSTRACT Acolor computer vision system was developed to inspect and grade fresh market peaches. System components included a color solid-state television camera, frame grabber, interface circuitry, and microcomputer. Digital color images of peaches were acquired as the fruit moved on a belt conveyor through an illumination chamber. Image analysis algorithms were developed to compare peach ground color to reference peach maturity colors, and to estimate the amount of blushed surface area. Ground color maturity classification with the computer vision system agreed with manual maturity classification in 54% of the test samples, and was within one color standard in 88% of the samples. Correlation coefficient between machine and manual estimates of blush surface area was 0.92.

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