A Preliminary Study to Classify Corn Silage for High or Low Mycotoxin Contamination by Using near Infrared Spectroscopy

A Preliminary Study to Classify Corn Silage for High or Low Mycotoxin Contamination by Using near Infrared Spectroscopy

Mycotoxins should be monitored in order to properly evaluate corn silage safety quality. In the present study, corn silage samples (n = 115) were collected in a survey, characterized for concentrations of mycotoxins, and scanned by a NIR spectrometer. Random Forest classification models for NIR cali...

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Bibliographic Details
Main Authors: Francesca Ghilardelli, Mario Barbato, Antonio Gallo
Format: Article
Language:English
Published: MDPI AG 2022-05-01
Series:Toxins
Subjects:
random forest
machine learning
emerging mycotoxins
forage
Online Access:https://www.mdpi.com/2072-6651/14/5/323

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