Design and Implementation of Agricultural Product Quality Tracing System Based on RFID
(1.Information faculty of Lijiang Culture and Tourism College, Lijiang 674199, China; 2.Chinasoft International Technology Service Co., Ltd., Xi'an 710061, China)
Abstract
Addressing the issues of incomplete and inaccurate information as well as low traceability efficiency in traditional agricultural product quality traceability methods, this paper researches and designs the agricultural product quality traceability system based on RFID. Firstly, an STM32 microcontroller and sensors collect real-time growth and quality data from agricultural products, which are stored in a database. Secondly, Wi-Fi technology transmits this data to the platform. Thirdly, RFID technology is used to generate quality identification tags for agricultural products. Finally, a Web interface displays traceability information, enabling consumers, producers, and others to query data as needed. Through multiple system tests, the response time is less than 1 second, and tag recognition accuracy reaches 100%.
Keywords
agricultural product quality; traceability system; RFID; STM32 Single-chip Microcomputer
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Funding
Science Research Fund Project of Yunnan Provincial Department of Education (2023J1458); The third batch of young and middle-aged academic and technical reserve talents in the school (2024xshb06)
About the authors
Yang Zhiqin (1989.12-), female, Yi ethnic group, from Yongsheng, Yunnan, associate professor, master's degree, research direction: management system development; Corresponding author: Zhang Guilian (1989.12-), female, Bai ethnic, from Heqing, Yunnan, associate professor, master's degree, research direction: Internet of Things system design and application; Zhen Ling (November 2001-), female, Han ethnicity, born in Guyuan, Ningxia, is a network engineer with a bachelor's degree. Her research direction is system operation and maintenance; Tan Guisheng (born on October 1986), male, Han ethnicity, from Chongqing, associate professor, master's degree, research direction: logistics management.