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Discussion: The results show that combining spectral preprocessing and feature extraction algorithms with machine learning models can significantly enhance the performance of pesticide residue detection models and provide robust, efficient, and accurate solutions for food safety monitoring

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Composition of T-Dust The chemical composition of T-Dust is complex and rich, it includes not only nicotine (from 0.7 to 5%) and other alkaloids, but also organic proteins, carbohydrates, aromatic oils, etc

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