Markov Transition Field Combined with Convolutional Neural Network Improved the Predictive Performance of Near-Infrared Spectroscopy Models for Determination of Aflatoxin B(1) in Maize

This work provides a novel approach to monitor the aflatoxin B(1) (AFB(1)) content in maize by near-infrared (NIR) spectra-based deep learning models that integrates Markov transition field (MTF) image coding and a convolutional neural network (CNN) strategy. According to the data structure characte...

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Detalles Bibliográficos
Autores principales: Wang, Bo, Deng, Jihong, Jiang, Hui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9332458/
https://www.ncbi.nlm.nih.gov/pubmed/35892795
http://dx.doi.org/10.3390/foods11152210

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9332458/
https://www.ncbi.nlm.nih.gov/pubmed/35892795
http://dx.doi.org/10.3390/foods11152210

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