Utilizing Drone for Food Quality and Safety Detection using Wireless Sensors

Faris. A. Almalki
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引用次数: 15

Abstract

This paper contributes towards one of the United Nation’s 17 Sustainable Development Goals (SDGs) of responsible food consumption and production by coupling Radio Frequency Identification (RFID) sensors to drones in order to detect foods’ quality and safety. The proposed model design aims to measure resonant frequency of goods dielectric constants wirelessly from an aerial drone for safety and security purposes. To the best of the author’s knowledge, it is the first work on remote aerial autonomous sensing for food quality and safety. This article fills a knowledge gap and opens an innovative research direction toward Internet of Everything (IoE) via drones in food safety that can be used production, warehouse management, logistics tracking, and product authenticity measures. Simulation results using CST microwave studio and MATLAB tools confirm that enabling-RFID and drone for detecting foods’ quality and safety is a promising and cost-effective approach that pursue the aim of this article.
利用无人机进行无线传感器食品质量安全检测
本文通过将射频识别(RFID)传感器与无人机相结合,以检测食品的质量和安全,为联合国17个负责任的食品消费和生产可持续发展目标(sdg)之一做出贡献。提出的模型设计旨在从空中无人机无线测量货物介电常数的谐振频率,以达到安全和安保目的。据笔者所知,这是第一部关于食品质量安全的远程航空自主传感的作品。本文填补了一个知识空白,开辟了一个创新的研究方向,即通过无人机在食品安全领域实现物联网(IoE),可用于生产、仓储管理、物流跟踪和产品真实性测量。使用CST微波工作室和MATLAB工具的仿真结果证实,启用rfid和无人机检测食品质量和安全是一种有前途且具有成本效益的方法,可以实现本文的目标。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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