Items Tagged with 'artificial intelligence'

At a Food Safety NEXT Industry Roundtable on June 25, senior business leaders came together to share, collaborate, and innovate meaningful improvements for supply chain risk management using enterprise AI. Food Safety Magazine is the exclusive media partner for Food Safety NEXT.

Central to the strategy are food industry-specific tools designed to support product development, regulatory compliance, traceability, and commercialization for food and beverage companies.

AI has moved into food safety programs faster than policies, procedures, and comfort levels can adapt. The gap between what organizations say and what people do regarding AI use is one of the most interesting—and potentially risky—signals from this Food Safety Insights survey.

Staying in compliance with food laws and avoiding food safety incidents requires more than ticking compliance boxes—it demands a strategic investment in people. 

AI-enhanced biosurveillance, integrated sensor networks, and intelligent analytics have been framed as critical enablers of safer, more efficient food systems. At the same time, the field has begun to acknowledge that the same tools that drive efficiency and predictive power can also be turned against the food system itself. 

SnackPro, which helps users identify potential allergens in foods through image analysis, was developed by the father of a child with severe food allergies.

Peak Automation Intelligence by Peak Technologies uses machine vision, smart optics, mobile computing, and unified analytics to provide an automated view of pallets and packages, material movement, and dock workflow.

This article examines the need to always engage subject matter experts in the analysis of AI results for food safety in the context of biosurveillance and cognitive security.

Garlic carries a distinct bacterial signature reflective of the soil in which it was grown, enabling geographic identification based on microbial composition. A novel method using microbiome data and AI analysis potentially offers a low-cost authentication technique.

The low-cost approach enables simultaneous detection of multiple foodborne pathogens and spoilage microorganisms in a shorter timeframe than traditional detection methods, without requiring advanced technical training.