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Detection of defects on selected apple cultivars using hyperspectral and multispectral image analysis

Detection of defects on selected apple cultivars using hyperspectral and multispectral image analysis

Applied Engineering in Agriculture 18(2): 219-226

ISSN/ISBN: 0883-8542

Apple defects cause food safety concerns touching the general public and strongly affect the commodity market. Because accumulations of human pathogens are usually observed on surface lesions, detection of lesions is essential for assuring quality and safety. This article presents the application of hyperspectral image analysis to the development of multispectral techniques for the detection of defects on three apple cultivars: Golden Delicious, Red Delicious, and Gala.

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Accession: 003704842

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