Co-Authors:
Haff, R.P., USDA Agricultural Research Service, Western Regional Research Center, 800 Buchanan St., Albany, CA 94710, United States
Slaughter, D.C., Department of Biological and Agricultural Engineering, University of California, Davis, CA 95616, United States
Sarig, Y., Department of Biological and Agricultural Engineering, University of California, Davis, CA 95616, United States
Kader, A., Department of Pomology, University of California, Davis, CA 95616, United States
Abstract:
A nondestructive method for detection of translucency, a physiological disorder in pineapple, would be beneficial to the industry. Ninety-two pineapples were imaged with X-ray to determine whether translucency could be detected. After imaging, each pineapple was cut open to determine the true level of the disorder and rated on a scale from 1 (no translucency) to 5 (extremely translucent). The X-ray images were inspected by human subjects who evaluated them as either good or bad based on the appearance of translucent and nontranslucent pineapples in training images. The results show a high correlation (R 2 = 0.96) between the likelihood of a sample being rated as good and the actual level of translucency observed. Samples with no translucency were correctly identified 95% of the time, while those with extreme translucency were correctly identified 86% of the time. The results indicate that X-ray imaging is a useful method for selecting either pineapples that are most likely to be free of translucency or those that are most likely to be extremely translucent. © 2006, Blackwell Publishing.
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