Editorial: AI-driven advances in personalized nutrition through optimization in food manufacturing
Navneet Kumar, Sudeep Tanwar, Anurag Singh · 2026
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Description
Navneet Kumar, Sudeep Tanwar, and Anurag Singh introduce a research collection in a 2026 editorial on AI in food making. Food production once ran on trial and error and broad dietary rules. The editors argue it is shifting toward prediction, live optimisation, and meals tailored to each person.
The editorial surveys five contributions in the collection, from framework reviews to restaurant decision support and cereal product tuning. One review maps AI tools such as computer vision and live monitoring across factory work. Another tracks the move from population diet rules to personal frameworks fed by body data and wearable sensors. The editors stress that value comes from joining many data kinds into workable, repeatable products, not from any single algorithm.
Catalog record
| CREATOR | Navneet Kumar, Sudeep Tanwar, Anurag Singh |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 7 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |