Proceedings of the 3rd International Conference on Management Science and Software Engineering (ICMSSE 2023)

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Blockchain + D-S Evidence Theory Approach to Traceability of Agricultural Products

Authors
ZHOU Zihan1, *, WANG Cong1, 2, LIU Chang1
1School of Shipping Economics and Management, Dalian Maritime University, Dalian, 116026, China
2School of Economics and Management, Southeast University, Nanjing, Jiangsu, 210096, China
*Corresponding author.
Corresponding Author
ZHOU Zihan
Available Online 9 October 2023.
DOI
10.2991/978-94-6463-262-0_42How to use a DOI?
Keywords
Blockchain; D-S Evidence Theory; Agricultural Product Traceability; Accurate Traceability
Abstract

The establishment of an agricultural product traceability system is of great significance to the supervision of agricultural product quality and safety. In response to the problems of complicated operation and low efficiency of existing agricultural product traceability methods, the agricultural product traceability method of blockchain + Dempster-Shafer(D-S) evidence theory is proposed. Through testing and analysis of accuracy and efficiency, the results show that accurate traceability can be achieved through the efforts of all parties in the market environment and the role of the network; in terms of performance, the write throughput of the Blockchain + D-S evidence theory approach and using a clustered traceability approach are almost identical; the highest query throughputs of the two approaches are 251bit/s and 164bit/s, respectively. The query throughput of the Blockchain + D-S evidence theory approach is higher, whereas the time delay of the data query of the Blockchain + D-S evidence theory approach is 368ms, which is much lower than that of the query of using a clustered traceability approach(1375.6ms). The research results have certain significance for the expansion of the blockchain traceability network and the collaborative development of agricultural product traceability.

Copyright
© 2024 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 Management Science and Software Engineering (ICMSSE 2023)
Series
Atlantis Highlights in Engineering
Publication Date
9 October 2023
ISBN
10.2991/978-94-6463-262-0_42
ISSN
2589-4943
DOI
10.2991/978-94-6463-262-0_42How to use a DOI?
Copyright
© 2024 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

risenwbib
TY  - CONF
AU  - ZHOU Zihan
AU  - WANG Cong
AU  - LIU Chang
PY  - 2023
DA  - 2023/10/09
TI  - Blockchain + D-S Evidence Theory Approach to Traceability of Agricultural Products
BT  - Proceedings of the 3rd International Conference on Management Science and Software Engineering (ICMSSE 2023)
PB  - Atlantis Press
SP  - 384
EP  - 401
SN  - 2589-4943
UR  - https://doi.org/10.2991/978-94-6463-262-0_42
DO  - 10.2991/978-94-6463-262-0_42
ID  - Zihan2023
ER  -