Towards IoT-Fog-ML integration for temperature break detection and prediction in fresh produce cold chains: a systematic review and architectural framework
IntroductionGlobally, 1.3 billion tons of food is lost or wasted each year, negatively impacting food security, the economy, and the climate. Fresh fruits and vegetables (FFVs), with their short shelf life and temperature sensitivity, are the most affected. This study systematically evaluates the integration of Machine Learning (ML), Adaptive Learning (AL), the Internet of Things (IoT), and Fog computing for temperature-break detection and prediction in FFVs supply chains. It critically evaluate
Record details
Published: 17 July 2026
Source: Frontiers in Artificial Intelligence
Category: Research
Topics: Jobs & economy · Environment
Retrieved: 18 July 2026
Related evidence
These records share source-supplied organisations, an exact publisher byline, automatic topics or regions. The reason is shown on every link; related does not mean supporting, agreeing with or verifying this record.
Plover: Steering GUI Agents through Plan-Centric Interaction
arXiv cs.AI · 16 July 2026
AI-Native Insurance for Agentic AI: Pricing, Underwriting, and End-to-End Automation
arXiv cs.CY · 16 July 2026
Migration and Displacement in Crisis: Protection, Policy, and Practice
Harvard Kennedy School · 18 July 2026
AI-Native Insurance for Agentic AI: Pricing, Underwriting, and End-to-End Automation
arXiv · 14 July 2026
PalmClaw: A Native On-Device Agent Framework for Mobile Phones
arXiv cs.AI · 14 July 2026
Beyond carbon productivity paradox of artificial intelligence through adaptive capability: A perspective of technology complementarity effect
Technology in Society · 14 July 2026
How to cite this record
ethics.ai (17 July 2026), “Towards IoT-Fog-ML integration for temperature break detection and prediction in fresh produce cold chains: a systematic review and architectural framework,” evidence record 11439, https://ethics.ai/record/11439 (originally published by Frontiers in Artificial Intelligence).
Use and limitations
This page is a stable index and citation surface for a source record. ethics.ai did not author the underlying report and has not independently verified every claim. Automatic topics may be imperfect. For consequential use, quote and cite the original publisher.