Proceedings of the 3rd International Conference on Digital Economy and Computer Application (DECA 2023)

Design and Implementation of Django-based Quality Traceability System for Medicinal Dendrobium

Authors
Yonghu Chang1, Shuiping Ou2, Qihai Jia3, Mingbo Mo3, Sen Wang4, *
1School of Medical Information Engineering, Zunyi Medical University, Zunyi, 563000, China
2Department of Pharmacy, Affiliated Hospital of Zunyi Medical University, Zunyi, 563000, China
3Guizhou Chishui Guoli Dendrobium nobile Development Co., Ltd., 564707, Zunyi, China
4School of Pharmacy, Zunyi Medical University, Zunyi, 563000, China
*Corresponding author. Email: wangsen@zmu.edu.cn
Corresponding Author
Sen Wang
Available Online 4 December 2023.
DOI
10.2991/978-94-6463-304-7_65How to use a DOI?
Keywords
dendrobium nobile; traceability; big data; django; django rest framework
Abstract

Taking Dendrobium nobile as an example, a quality traceability system for the entire production process of medicinal Dendrobium was constructed. The server program of Dendrobium nobile quality traceability system is built by django, the back-end data submission and request interface of the system is built by django rest framework, the desktop web interface is built by elementUI based on VueJs, and the mobile phone application of the system is built by uniapp framework. The Dendrobium nobile quality traceability system can record, save and query the production process data of breeding, cultivation, harvesting and processing, quality detection of Dendrobium nobile products, and transmit them to consumers in real time and accurately to ensure the reliability of product sources and quality, and improve the consumer loyalty of Dendrobium nobile products. The research and development of this system can realize the quality management and information query of the whole industrial chain of Dendrobium nobile, provide an important basis for regulating the Dendrobium nobile industry in Chishui, improving product quality and brand influence, and provide reference for the development and application of the quality traceability system of medicinal Dendrobium nobile.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 3rd International Conference on Digital Economy and Computer Application (DECA 2023)
Series
Atlantis Highlights in Computer Sciences
Publication Date
4 December 2023
ISBN
10.2991/978-94-6463-304-7_65
ISSN
2589-4900
DOI
10.2991/978-94-6463-304-7_65How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

TY  - CONF
AU  - Yonghu Chang
AU  - Shuiping Ou
AU  - Qihai Jia
AU  - Mingbo Mo
AU  - Sen Wang
PY  - 2023
DA  - 2023/12/04
TI  - Design and Implementation of Django-based Quality Traceability System for Medicinal Dendrobium
BT  - Proceedings of the 3rd International Conference on Digital Economy and Computer Application (DECA 2023)
PB  - Atlantis Press
SP  - 615
EP  - 627
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-304-7_65
DO  - 10.2991/978-94-6463-304-7_65
ID  - Chang2023
ER  -