Detection Potential of Multi-Features Representation of E-Nose Data in Classification of Moldy Maize Samples
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DOI: 10.1007/s11947-017-1993-1
Abstract: In order to assess rapidly and timely the moldy degree of maize samples using electronic nose (E-nose) and improve the correct classification rate of E-nose, the different feature representation modes (DFRM) for E-nose data were… read more here.
Keywords: classification; multi; nose data; maize samples ... See more keywords
Relationship between the Fungal Incidence, Water Activity, Humidity, and Aflatoxin Content in Maize Samples from the Highlands and Coast of Ecuador
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DOI: 10.3390/toxins14030196
Abstract: This study evaluated the fungal incidence through direct plating in Agar Dichloran Glycerol, and the presence of aflatoxins in maize samples from the Highlands and Coast of Ecuador by HPLC, investigating the influence of the… read more here.
Keywords: relationship; maize samples; water activity; samples highlands ... See more keywords