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Prediction of Deoxynivalenol contamination in wheat kernels and flour based on visible near-infrared spectroscopy, feature selection and machine learning modelling
Muhammad Baraa Almoujahed, Orly Enrique Apolo-Apolo, Mohammad Alhussein, Marius Kazlauskas, Zita Kriaučiūnienė, Egidijus Šarauskis, Abdul Mounem Mouazen
Ghent University University of Göttingen Vytautas Magnus University
来源Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy
年份2025
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学术脉络
学科主题
化学Spectroscopy and Chemometric Analyses
Mycotoxins in Agriculture and Food · Smart Agriculture and AI
参考文献 42
Sensing Soil Properties in the Laboratory, In Situ, and On-Line
被引 268Boyan Kuang, Hafiz Sultan Mahmood, Mohammed Z. Quraishi · Advances in agronomy · 2012
Detection of Fusarium damaged kernels in Canada Western Red Spring wheat using visible/near-infrared hyperspectral imaging and principal component analysis
被引 155Muhammad A. Shahin, Stephen J. Symons · Computers and Electronics in Agriculture · 2010
Deoxynivalenol and its toxicity
被引 518Pavlína Šobrová, Vojtěch Adam, Anna Vašátková · Interdisciplinary Toxicology · 2010
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引用本文 23
Application of NIR spectroscopy with machine learning in the food industry: A comprehensive review
被引 28Nurkanti Mia, MA Hashem, Md. Abdul Halim · Food Physics · 2026
The use of artificial intelligence to improve mycotoxin management: a review
被引 25Marlous Focker, Cheng Liu, Xinxin Wang · Mycotoxin Research · 2025
Research Progress in the Detection of Mycotoxins in Cereals and Their Products by Vibrational Spectroscopy
被引 21Jihong Deng, Mingxing Zhao, Hui Jiang · Foods · 2025
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