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Review Open access Sep 2026

Systematic Review on Artificial Intelligence‐Enhanced Hyperspectral Imaging for Food Processing: Applications, Technical Bottlenecks, and Future Perspectives

Hyperspectral imaging (HSI) integrates spatial and spectral analysis for nondestructive food quality monitoring. While the integration of artificial intelligence (AI) has significantly advanced HSI analytics, prior reviews have predominantly focused on static, postharvest quality grading. This leaves a critical gap r...

Xiao-Wei Huang, Bao-Ze Liu, Xiao-Dong Zhai et al. · 0 citations
#edge computing Review Open access Sep 2026

Advances in Sensing Techniques and Deep Learning for Food Quality Detection: Opportunities, Challenges, and Perspectives from Image Recognition to Multimodal Data Fusion

This review systematically compares CNNs, RNNs/LSTMs, Transformers, GNNs, GANs, and hybrid architectures, as well as transfer learning, self-supervised learning, contrastive learning, few-shot learning, lightweight networks, edge computing, and multimodal fusion.

Wei-Hao Wang, Zhi-Dan Jiang, Si-Si Yang et al. · 0 citations

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