Performance optimization of agricultural traceability blockchain based on sharding technology

With the increasing global concerns over food safety, ensuring the transparency and traceability of agricultural products throughout their entire production-to-consumption process has become a key issue of societal interest. Blockchain technology, due to its decentralized, immutable, and transparent nature, offers a novel solution for the traceability of agricultural products. However, traditional blockchain systems encounter performance bottlenecks when handling large-scale agricultural data, particularly under conditions of high data volume and frequent transactions, where issues such as processing delays and insufficient throughput commonly arise. Sharding technology, a critical approach for improving blockchain performance, has the potential to significantly enhance system throughput and response time by partitioning the blockchain network into multiple independent shards for parallel processing. However, the application of sharding technology in agricultural traceability systems faces several challenges, including shard load imbalance, communication delays between shards, and inefficiencies in consensus algorithms. To address these challenges, two innovative approaches were proposed in this study: firstly, to address the issue of uneven load distribution in sharding, a jump hash sharding algorithm was designed to optimize shard allocation strategies, thereby improving resource utilization and processing efficiency; secondly, to tackle the performance bottleneck of consensus algorithms, an enhanced consensus algorithm was introduced to improve consensus efficiency while maintaining security. Experimental results demonstrated that the proposed method significantly outperformed traditional blockchain-based traceability systems in terms of performance and scalability, providing a more efficient and reliable technological solution for the application of blockchain technology in the agricultural sector. This research not only offers a more efficient technological solution for agricultural product traceability but also paves the way for new applications of blockchain technology within the agricultural domain.

Authors

Institutions

Publication Details

Journal
Quality Assurance and Safety of Crops & Foods
Published
2025-04-01
DOI
https://doi.org/10.15586/qas.v17i2.1542
Citations
2
Primary Topic
Food Supply Chain Traceability
Type
article
Field-Weighted Citation Impact
2.32
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Performance optimization of agricultural traceability blockchain based on sharding technology

Jingfa Yao, Guifa Teng, Xiangdong Guo, Yuting Zhang
2 citations
Quality Assurance and Safety of Crops & Foods
Food Supply Chain Traceability
2.32
article

Performance optimization of agricultural traceability blockchain based on sharding technology

Jingfa Yao, Guifa Teng, Xiangdong Guo, Yuting Zhang
article en
2 citations

Abstract

With the increasing global concerns over food safety, ensuring the transparency and traceability of agricultural products throughout their entire production-to-consumption process has become a key issue of societal interest. Blockchain technology, due to its decentralized, immutable, and transparent nature, offers a novel solution for the traceability of agricultural products. However, traditional blockchain systems encounter performance bottlenecks when handling large-scale agricultural data, particularly under conditions of high data volume and frequent transactions, where issues such as processing delays and insufficient throughput commonly arise. Sharding technology, a critical approach for improving blockchain performance, has the potential to significantly enhance system throughput and response time by partitioning the blockchain network into multiple independent shards for parallel processing. However, the application of sharding technology in agricultural traceability systems faces several challenges, including shard load imbalance, communication delays between shards, and inefficiencies in consensus algorithms. To address these challenges, two innovative approaches were proposed in this study: firstly, to address the issue of uneven load distribution in sharding, a jump hash sharding algorithm was designed to optimize shard allocation strategies, thereby improving resource utilization and processing efficiency; secondly, to tackle the performance bottleneck of consensus algorithms, an enhanced consensus algorithm was introduced to improve consensus efficiency while maintaining security. Experimental results demonstrated that the proposed method significantly outperformed traditional blockchain-based traceability systems in terms of performance and scalability, providing a more efficient and reliable technological solution for the application of blockchain technology in the agricultural sector. This research not only offers a more efficient technological solution for agricultural product traceability but also paves the way for new applications of blockchain technology within the agricultural domain.

Quality Assurance and Safety of Crops & FoodsVol. 17(2)
Hebei Agricultural University (CN), Hebei University (CN)
Openalex Percentile: Top 14%
Food Supply Chain Traceability
2.32
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.