Advances in Machine Learning and Deep Learning Algorithm-Assisted Hyperspectral Imaging for Food Quality and Safety Assessment
Lingwei Hu, Yifan Dong, Chunhong Hu, Mingming Chen, Jitao Li · 2026
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Description
Lingwei Hu and four co-authors review how machine learning powers light-based scanning of food, in a paper from twenty twenty-six. The scanning method captures both image and spectrum at each point, giving a rich fingerprint of a food's state. It is fast and does not damage the sample, unlike slow lab tests.
The catch is the data: huge and tangled, it defeats classic analysis. The review explains the main learning methods in plain terms, then surveys uses from fruit and meat grading to spotting fakes, additives, mold, and heavy metals. Moisture checks and plant growth tracking also feature. Open problems include scarce data, unclear models, and the leap to factory use. The authors chart paths toward smarter, practical systems.
Catalog record
| CREATOR | Lingwei Hu, Yifan Dong, Chunhong Hu, Mingming Chen, Jitao Li |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 87 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |