Article ID Journal Published Year Pages File Type
6390870 Food Control 2015 9 Pages PDF
Abstract
Multispectral images of dorsal and ventral sides of all kernels were acquired with an in-house imaging system and processed with chemometrical tools, including principal component analysis (PCA) and multiple linear regression (MLR). According to the quantitative PCR (qPCR) results, PCA was able to detect infested kernels and to identify affected areas with kernels. Moreover, regression analysis of the images allowed the degree of contamination for each pixel to be estimated, and thus mapping of contamination for each kernel.
Related Topics
Life Sciences Agricultural and Biological Sciences Food Science
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