AgriShard: Blockchain Sharding-Based Agri-Food Supply

DOI

10.2991/978-94-6239-616-6_122How to use a DOI?

Keywords

Agricultural food supply chain; Blockchain; Sharding; Scalability; Consensus mechanism

Abstract

The Agricultural Food Supply Chain (AFSC) is a crucial aspect of the agricultural food industry, with stakeholders increasingly involved in decision-making processes. The use of chemicals in production and the constant flow of low-quality agricultural products have a significant impact on product quality and consumer welfare. Traceability is essential for AFSC management to guarantee nourishment protection, improve purchaser faithfulness, and increase fulfilment. As a result, blockchain technology, with its decentralized and secure nature, is increasingly being used to replace third-party confirmation of supply chain transactions. In the past era. Researchers have proposed a blockchain-based AFSC scheme to provide product traceability and decentralized traceability data security. However, blockchain networks face limitations in scalability due to consensus protocols and the need to distribute a single shared ledger to each node. To address this issue, sharding has been employed as a mitigating measure, which divides the network into small clusters or shards, allowing concurrent transactions within each cluster. Thus, this article develops a transaction-based sharding paradigm, AgriShard, which outperforms conventional agricultural-food models in terms of transaction count, consensus delay, and throughput. The method also avoids cross-shard transmission by creating full shards according to the assumption that nodes related to a particular product can only communicate in the particular shard.

Copyright

© 2026 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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TY  - CONF
AU  - N. Valliammal
AU  - M. Arifa Hidhaya
PY  - 2026
DA  - 2026/03/31
TI  - AgriShard: Blockchain Sharding-Based Agri-Food Supply
BT  - Proceedings of the International Conference on Artificial Intelligence and Secure Data Analytics (ICAISDA 2025)
PB  - Atlantis Press
SP  - 1709
EP  - 1726
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6239-616-6_122
DO  - 10.2991/978-94-6239-616-6_122
ID  - Valliammal2026
ER  -