Articles
AUTOMATIC GRADING OF FRESH PEACHES USING COLOR COMPUTER VISION
Article number
254_24
Pages
161 – 166
Language
Abstract
A color computer vision system was developed to inspect and grade fresh market peaches.
Digital color images of peaches were acquired as the fruit moved through an illumination chamber on a belt conveyor.
Tests were conducted on fresh market peaches to determine system accuracy in performing ground color maturity classification and blush estimates of peach surface area.
Machine maturity classification agreed with manual maturity classification in 65% of the test samples.
Correlation coefficient between machine and manual estimates of blush surface area was 0.90.
Digital color images of peaches were acquired as the fruit moved through an illumination chamber on a belt conveyor.
Tests were conducted on fresh market peaches to determine system accuracy in performing ground color maturity classification and blush estimates of peach surface area.
Machine maturity classification agreed with manual maturity classification in 65% of the test samples.
Correlation coefficient between machine and manual estimates of blush surface area was 0.90.
Publication
Authors
B.K. Miller, M.J. Delwiche
Keywords
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