Enhancing Food Safety in the Cold Chain Through Internet of Things and Artificial Intelligence
Wagner Augusto Müller; Sandro Binsfeld Ferreira; Suse Botelho da Silva · 2026 · Journal of Food Science
WASTE classifies this as Negative / Null Result Report · AI classification, approximate
The study found no significant effect — useful as a negative control or null benchmark for your own design.
Abstract
Effective cold chain management is crucial for ensuring food safety, but traditional monitoring approaches remain reactive and fragmented. Industry 4.0 technologies, such as the Internet of Things (IoT) and artificial intelligence (AI), offer transformative potential for real-time tracking, automation, and predictive analytics. Many studies have explored the application of IoT and AI in the cold chain, but the existing literature focuses on isolated technologies. This review presents an integrated perspective, examining the synergistic potential of IoT-enabled data acquisition and AI-driven pr
Abstract by Wagner Augusto Müller; Sandro Binsfeld Ferreira; Suse Botelho da Silva, Journal of Food Science (2026) — licensed CC BY 4.0.
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WASTE indexes this work — it does not host or republish it. Failure-type classification is automated and approximate.
Metadata source: OpenAlex · DOI 10.1111/1750-3841.70871
