High-throughput quantification of aflatoxin in moldy peanuts using hyperspectral imaging and CNN: Comparative evaluation of machine learning algorithms and deep learning models
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Aflatoxin contamination in peanuts poses serious health risks, requiring rapid, non-destructive detection methods. This study developed a hyperspectral imaging (HSI) approach combined with deep learning for quantitative aflatoxin analysis in moldy peanuts. The... ...
