Food Informatics & AI
Computer vision for quality, predictive analytics and smart supply.
AI and digitalization are penetrating every layer of the food value chain, from foundation-model-driven recipe and flavor design (NotCo Giuseppe, Climax Foods, Shiru) to computer-vision sorting (TOMRA, Key Technology) deployed across produce and protein lines. The track will cover predictive shelf-life and demand forecasting models, large-language-model assistants for regulatory dossiers and label compliance, digital twins of fermentation and extrusion lines, and generative-AI-driven novel ingredient discovery. Sessions will examine hyperspectral imaging for foreign-object detection, IoT-enabled cold-chain analytics, and the data-governance and explainability challenges of deploying AI under FSMA and EU AI Act constraints.
- Foundation models for ingredient and flavor discovery: NotCo, Shiru, Climax
- Computer vision sorting: TOMRA, Key Technology, hyperspectral imaging
- Digital twins of fermentation, extrusion and thermal processing
- LLM assistants for regulatory dossiers and label compliance
- Demand forecasting and waste reduction with ML in retail
- Blockchain plus IoT for end-to-end cold-chain analytics
- AI governance: EU AI Act, FSMA data integrity, explainability