Digital twins for food processing and shelf-life: linking mechanistic models, sensors, and AI to predict quality, safety, and waste through near-real-time decision support
Hybrid digital twins (DTs) are emerging as decision-support systems for perishable food supply chains because they can transform shipment-specific exposure histories into individualized forecasts of quality evolution, safety risk, and remaining shelf-life (RSL). This paper presents a focused hybrid...
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| Principais autores: | , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
Frontiers Media S.A.
2026-05-01
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| Series: | Frontiers in Food Science and Technology |
| Assuntos: | |
| Acceso en liña: | https://www.frontiersin.org/articles/10.3389/frfst.2026.1813819/full |
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