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Review of advanced algorithms and imaging techniques in food analysis: a path to the future
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DOI：10.1016/j.tifs.2025.105504.png)
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Abstract
En 中文
• Combining classical and advanced AI models enhance techniques' accuracy. • AI integration enables rapid and non-destructive analysis • Novel intelligent solutions expand methodologies' applicability. • Advanced AI models require data augmentation strategies and improved transparency.
Keywords:
Artificial Intelligence
Machine Learning
Neural Networks
Chemometrics
Food Safety
Food Quality
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