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Updated: Feb 7, 2026

A Virtual Machine Platform for Non-Computer Professionals for Using Deep Learning to Classify Biological Sequences of Metagenomic Data
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使用ATR-FTIR光谱和可解释的机器学习来预测和分类小麦粉中的脱氧尼瓦伦醇

Jiajun Liu1, Kebing Yao2, Chen Chen2

  • 1Zhenjiang Academy of Agricultural Sciences/ Zhenjiang Agricultural Science Research Institute of Jiangsu Hilly Regions, Jiangsu Academy of Agricultural Sciences, Jurong, China; International Maize and Wheat Improvement Center (CIMMYT), Texcoco, Mexico.

Journal of hazardous materials
|February 5, 2026
PubMed
概括

富里埃变换红外光谱法 (FTIR) 与机器学习相结合,可以准确预测小麦中的脱氧尼瓦醇 (DON). 这种具有成本效益的方法可以通过可靠的DON水平监测来提高食品安全.

关键词:
没有,没有,没有,没有.美国的FTIR是FTIR.类头部病 类头部病这就是 SHAP SHAP 的意思.在 TabPFNN 中小麦小麦小麦的小麦.在XGBoost上使用.

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