Browsing Articles publicats (Química) by Subject "Cereal sorting"
Now showing items 1-4 of 4
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Hyperspectral imaging for the classification of individual cereal kernels according to fungal and mycotoxins contamination: A review
(Elsevier, 2022)One of the most common concerns in the cereal industry is the presence of fungi and their associated mycotoxins. Hyperspectral Imaging (HSI) has been proposed recently as one of the most potent tools to manage fungal ... -
Standardisation of near infrared hyperspectral imaging for quantification and classification of DON contaminated wheat samples
(Elsevier, 2019-12-23)Near infrared hyperspectral imaging (HSI-NIR) is considered a promising technique able to replace time-con- suming, costly and destructive classic methods to predict and classify deoxynivalenol (DON) contaminated wheat ... -
Standardization of near infrared hyperspectral imaging for wheat single kernel sorting according to deoxynivalenol level
(Elsevier, 2020-11-28)The spatial recognition feature of near infrared hyperspectral imaging (HSI-NIR) makes it potentially suitable for Fusarium and deoxynivalenol (DON) management in single kernels to break with heterogeneity of contamination ... -
Use of hyperspectral imaging as a tool for Fusarium and deoxynivalenol risk management in cereals: A review
(Elsevier, 2019-08-20)Hyperspectral imaging (HSI) is an emergent, rapid, cost-effective and non-destructive technique in which the spectral data are obtained for each pixel location in a sample's image. The application of this technique to ...