Proceedings of the 2nd International Conference on Artificial Intelligence and Cloud Computing (ICAICC 2022)

Design of Flower Trading Application Software Based on Cloud Computing to Solve the Problem of Manual Information Entry

Authors
Jingyu Liu1, *, Bingran Li1, Guowei Zhao1, Yongbin Zhang1
1Department of Mechanical and Electronic Engineering, Beijing Institute of Graphic Communication, Beijing, China
*Corresponding author. Email: dyyxliujingyu@126.com
Corresponding Author
Jingyu Liu
Available Online 10 November 2022.
DOI
10.2991/978-94-6463-002-2_7How to use a DOI?
Keywords
Cloud computing; Trading application software; Supply chain
Abstract

With the progress of science and technology and the improvement of traffic levels, China’s flower industry has entered an era of rapid development. However, there are still some problems to be solved in the flower supply chain, among which the tedious process and slow information processing will affect the quality of flowers. The design of flower trading application software based on cloud computing proposed in this paper can solve the problems of low efficiency and high error rate in the process of filling in the flower trading order note manually, and the application of cloud computing can improve the speed of information processing, simplify the trading process to the greatest extent and ensure the quality of flowers.

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 2nd International Conference on Artificial Intelligence and Cloud Computing (ICAICC 2022)
Series
Advances in Computer Science Research
Publication Date
10 November 2022
ISBN
10.2991/978-94-6463-002-2_7
ISSN
2352-538X
DOI
10.2991/978-94-6463-002-2_7How 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  - Jingyu Liu
AU  - Bingran Li
AU  - Guowei Zhao
AU  - Yongbin Zhang
PY  - 2022
DA  - 2022/11/10
TI  - Design of Flower Trading Application Software Based on Cloud Computing to Solve the Problem of Manual Information Entry
BT  - Proceedings of the 2nd International Conference on Artificial Intelligence and Cloud Computing (ICAICC 2022)
PB  - Atlantis Press
SP  - 50
EP  - 59
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-002-2_7
DO  - 10.2991/978-94-6463-002-2_7
ID  - Liu2022
ER  -