Improved Aflatoxins and Fumonisins Forecasting Models for Maize (PREMA and PREFUM), Using Combined Mechanistic and Bayesian Network Modeling—Serbia as a Case Study

Improved Aflatoxins and Fumonisins Forecasting Models for Maize (PREMA and PREFUM), Using Combined Mechanistic and Bayesian Network Modeling—Serbia as a Case Study

Contamination of maize with aflatoxins and fumonisins is one of the major food safety concerns worldwide. Knowing the contamination in advance can help to reduce food safety risks and related health issues and economic losses. The current study aimed to develop forecasting models for the contaminati...

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Bibliographic Details
Main Authors: Ningjing Liu, Cheng Liu, Tatjana N. Dudaš, Marta Č. Loc, Ferenc F. Bagi, H. J. van der Fels-Klerx
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-04-01
Series:Frontiers in Microbiology
Subjects:
mycotoxins
prediction
corn
weather
unbalanced data
validation
Online Access:https://www.frontiersin.org/articles/10.3389/fmicb.2021.643604/full

Internet

https://www.frontiersin.org/articles/10.3389/fmicb.2021.643604/full

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