通过自我学习和自适应系统增强智能数字化食品供应链

2021 IEEE International Conference on Autonomic Computing and Self-Organizing Systems Companion (ACSOS-C) Pub Date : 2021-09-01 DOI:10.1109/ACSOS-C52956.2021.00081

Elia Henrichs

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引用次数: 4

摘要

这项工作提出了在食品供应链中使用自适应系统来减少食物浪费和改善食品安全的概念。其中包括用于自适应监测食品状况的智能传感器，以及用于预测食品质量和保质期的机器学习框架。计划建立一个原型来评估该系统。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Enhancing the Smart, Digitized Food Supply Chain through Self-Learning and Self-Adaptive Systems

This work presents a concept to reduce food waste and improve food safety using adaptive systems in the food supply chain. These include smart sensors to adaptively monitor the food's condition and machine learning frameworks to predict the food's quality and shelf life. The build of a prototype is planned to evaluate the system.

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来源期刊

2021 IEEE International Conference on Autonomic Computing and Self-Organizing Systems Companion (ACSOS-C)

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