Prediction of Deoxynivalenol Contamination in Wheat Kernels and Flour Based on Visible Near-Infrared Spectroscopy, Feature Selection and Machine Learning Modelling

Author:

Almoujahed Muhammad Baraa,Apolo-Apolo Orly Enrique,Alhussein Mohammad,Kazlauskas Marius,Kriaučiūnienė Zita,Šarauskis Egidijus,Mouazen Abdul M.

Publisher

Elsevier BV

Reference33 articles.

1. Crop diseases and mycotoxin accumulation in temperate agroforestry systems;L Beule;Sustainability,2019

2. Handbook of Near-Infrared Analysis

3. Commission Recommendation (EU) 2016/1319 of 29 July 2016 amending Recommendation 2006/576/EC as regards deoxynivalenol, zearalenone and ochratoxin A in pet food;E Commission;Off. J. Eur. Union,2016

4. Fourier transform near-infrared and mid-infrared spectroscopy as efficient tools for rapid screening of deoxynivalenol contamination in wheat bran;A De Girolamo;Journal of the Science of Food and Agriculture,2019

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