Application of Blockchain Technology in Agricultural Product Traceability

In today's world, people's living standards have been gradually improving, and their health awareness has been constantly increasing; consumers need better quality and experience when shopping. The process of selling agricultural products needs to be further developed with digital transformation. The construction of an agricultural product traceability system based on blockchain technology enables full process tracking of the agricultural product supply chain for the integrity and transparency of traceability information; furthermore, because of its decentralized feature and immutability of transaction records, it provides a novel way for transforming and upgrading traditional agricultural product retail processes. In order to make clear the direction of this field, we attempt to summarize and review the existing domestic and international literature within the scope of blockchain technology and agricultural product sales: analyze the current research status, theoretical foundation of blockchain tech, case study and analysis as well as policy support, identify the shortcoming in current academic research (sample, method, depth, scenario).In doing so, it aims to clarify the research context and development status of the field, organize mainstream research perspectives, key technologies, and typical applications, analyze existing deficiencies and controversial issues, and thereby provide a forecast for future research directions. This offers theoretical references and insights for subsequent studies, promoting further deepening and improvement of related research.

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Publication Details

Journal
Frontiers in Computing and Intelligent Systems
Published
2026-10-30
DOI
https://doi.org/10.54097/5h27dp04
Primary Topic
Food Supply Chain Traceability
Type
article
Field-Weighted Citation Impact
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article

Application of Blockchain Technology in Agricultural Product Traceability

Junle An
3 links
Frontiers in Computing and Intelligent Systems
Food Supply Chain Traceability
article

Application of Blockchain Technology in Agricultural Product Traceability

Junle An
article en

Abstract

In today's world, people's living standards have been gradually improving, and their health awareness has been constantly increasing; consumers need better quality and experience when shopping. The process of selling agricultural products needs to be further developed with digital transformation. The construction of an agricultural product traceability system based on blockchain technology enables full process tracking of the agricultural product supply chain for the integrity and transparency of traceability information; furthermore, because of its decentralized feature and immutability of transaction records, it provides a novel way for transforming and upgrading traditional agricultural product retail processes. In order to make clear the direction of this field, we attempt to summarize and review the existing domestic and international literature within the scope of blockchain technology and agricultural product sales: analyze the current research status, theoretical foundation of blockchain tech, case study and analysis as well as policy support, identify the shortcoming in current academic research (sample, method, depth, scenario).In doing so, it aims to clarify the research context and development status of the field, organize mainstream research perspectives, key technologies, and typical applications, analyze existing deficiencies and controversial issues, and thereby provide a forecast for future research directions. This offers theoretical references and insights for subsequent studies, promoting further deepening and improvement of related research.

Frontiers in Computing and Intelligent SystemsVol. 18(2)
Jiangsu Food and Pharmaceutical Science College (CN)
Zero hunger, Industry, innovation and infrastructure
Openalex Percentile: Top 16%
Food Supply Chain Traceability
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Application of Blockchain Technology in Agricultural Product Traceability — Junle An · Frontiers in Computing and Intelligent Systems (2026) | TGRS Research Map | TGRS