A survey on evaluation of blockchain-based agricultural traceability

IF 7.7 1区农林科学 Q1 AGRICULTURE, MULTIDISCIPLINARY

Computers and Electronics in Agriculture Pub Date : 2024-11-09 DOI:10.1016/j.compag.2024.109548

Shaoning Pang , Shyh Wei Teng , Manzur Murshed , Cuong Van Bui , Priyabrata Karmakar , Yanyu Li , Hao Lin

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Abstract

The integration of blockchain technology in agricultural traceability has shown immense potential, yet its widespread adoption faces significant roadblocks. Using bulk product traceability as a foundational reference, this paper presents a comprehensive evaluation framework for Blockchain-based Agricultural Traceability. The framework accentuates product identification and data traceability across the supply chain, addressing traceability disconnections caused by bulk product blending. It dives into depth levels from adoption decision-making to system design, development, and deployment, emphasizing the critical aspects of traceability compliance and standardization. As a result, we identified the obstacles to adopting agricultural digital traceability and pave the pathway to traceability system deployment. We examined the barriers to implementing digital traceability of agricultural products, taking the Australian grain supply chain as an example. Our findings reveal that lack of standardization and participation barriers are the primary challenges in implementing digital traceability for agricultural products. Our paper offers insights and recommendations for researchers, industry practitioners, and business owners to overcome these challenges and enable digital traceability of agricultural products in global supply chains.

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基于区块链的农产品溯源评估调查

区块链技术与农业溯源的结合已显示出巨大的潜力，但其广泛应用还面临着巨大的障碍。本文以大宗产品可追溯性为基础参考，提出了基于区块链的农产品可追溯性综合评估框架。该框架强调整个供应链的产品识别和数据可追溯性，解决了散装产品混合造成的可追溯性脱节问题。它从采用决策到系统设计、开发和部署的各个层面深入探讨，强调了可追溯性合规性和标准化的关键环节。因此，我们找出了采用农业数字可追溯性的障碍，并为部署可追溯性系统铺平了道路。我们以澳大利亚谷物供应链为例，研究了实施农产品数字可追溯性的障碍。我们的研究结果表明，缺乏标准化和参与障碍是实施农产品数字溯源的主要挑战。我们的论文为研究人员、行业从业人员和企业主提供了见解和建议，以克服这些挑战，在全球供应链中实现农产品的数字化可追溯性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Computers and Electronics in Agriculture 工程技术-计算机：跨学科应用

CiteScore

15.30

自引率

14.50%

发文量

800

审稿时长

62 days

期刊介绍： Computers and Electronics in Agriculture provides international coverage of advancements in computer hardware, software, electronic instrumentation, and control systems applied to agricultural challenges. Encompassing agronomy, horticulture, forestry, aquaculture, and animal farming, the journal publishes original papers, reviews, and applications notes. It explores the use of computers and electronics in plant or animal agricultural production, covering topics like agricultural soils, water, pests, controlled environments, and waste. The scope extends to on-farm post-harvest operations and relevant technologies, including artificial intelligence, sensors, machine vision, robotics, networking, and simulation modeling. Its companion journal, Smart Agricultural Technology, continues the focus on smart applications in production agriculture.