先进的农业供应链管理:整合区块链和杨氏双缝实验以提高安全性

Esakki Muthu Santhanam, Kartheeban kamatchi
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引用次数: 0

摘要

在农产品供应和食品链中,确保产品安全非常重要,其中包括监测有效的物流管理和农产品的进步。由于在污染风险和食品安全方面出现了许多问题,因此需要一种能充分保证产品安全的有效模式。因此,本文介绍了一种有效的模型,即基于区块链的杨氏交叉双缝算法(BC-CYD),它能够确保供应链管理中基于农业的数据安全。所开发的方法成功地执行了产品溯源和追踪交易,为农业供应链提供了高级别的安全性。所开发的方法在出处跟踪和产品信息存储中使用了验证过程。所开发的 BC-CYD 方法通过获得更高的安全性、可靠性和完整性,提高了安全性和效率。产品交易存储在区块链账本中,因此,所开发的模型能够在供应链管理中提供高级别的可追溯性和透明度。对所提出的 BC-CYD 方法的有效性进行了评估,评估参数量化了所开发的 BC-CYD 方法的效率。根据精确度、ROC、准确度和处理时间的性能率,可以确定所开发的 BC-CYD 方法的有效性较高。建议的 BC-CYD 方法的精确度高达 97.4%,准确度为 98.8%,处理时间和训练时间更短。
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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Advanced agricultural supply chain management: integrating blockchain and young’s double-slit experiment for enhanced security

In the agricultural supply and food, chain Ensuring product safety is important which includes monitoring the effective logistics management and advancements of agricultural products. An effective model that guarantees sufficient safety of the product is required because many issues have been raised regarding contamination risks and food safety. Thus, an efficacious model is introduced in this article referred to as Blockchain Based-Crossover Young’s double-slit (BC-CYD) algorithm, which enables securing agriculture-based data in supply chain management. The developed approach successfully executes the transactions in the traceability and tracking of products with high-level security for the agricultural supply chain. The developed method utilizes an authentication process in provenance tracking and product information storage. The developed BC-CYD method improves safety and efficiency by obtaining higher security, reliability, and integrity. Here, product transactions are stored in the blockchain ledger, thereby, the developed model offers high-level traceability and transparency in a capable manner in the supply chain management. The effectiveness of the proposed BC-CYD method is assayed, where evaluation parameters quantify the efficiency of the developed BC-CYD method. Based on the performance rates of Precision, ROC, accuracy, and Processing time, the developed BC-CYD method’s effectiveness is ascertained as higher. The suggested BC-CYD method yields a greater precision of 97.4% and its accuracy is 98.8% with lower processing time and training time.

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