与区块链供应链相结合的海产品质量、掺假和溯源技术

Shereen S. Ismail, Mitchell Sueker, Sayed Asaduzzaman, Hassan Reza, F. Vasefi, Hossein Kashani Zadeh
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引用次数: 0

摘要

水产品供应链(FSC)行业面临着一项重大挑战,即如何在整个供应链中高效、经济地保持水产品质量并检测掺假情况。质量、掺假和可追溯性(QAT)是我们团队开发的一种基于多模式光谱和人工智能的手持设备,用于识别鱼的种类和评估鱼的新鲜度,可集成到 FSC 生态系统中。我们开展了一项调查,采访了渔业安全委员会的专业人士,包括捕捞者、加工商、分销商和零售商,询问他们如何评估鱼类新鲜度,以及在新鲜度检测和欺诈检测中面临的主要问题。我们了解到,传统的感官评估和电子鼻是最常用的水产品质量和新鲜度评估方法。QAT 技术将替代现有方法,为鱼类物种鉴定、质量评估和营养成分分析提供快速结果。区块链(BC)作为一种分布式账本技术(DLT),可与 FSC 集成,以安全地监控和记录 FSC 每个步骤的水产品质量和新鲜度值。这有助于维护产品的完整性,并为利益相关者提供了解水产品整个过程的途径。我们对实验进行了扩展,以研究鱼类新鲜度在整个 FSC 过程中的降解情况,一旦降解率超过一定限度,就会触发系统。利用这些结果,BC 集成智能合约就能将其新鲜度等级与历史记录值进行比较。如果新鲜度下降超过预期范围,智能合约就会发出警报,提醒系统注意。这样,采用 QAT 技术的基于 BC 的 FSC 就能检测到任何降级,并标记出可能影响新鲜度或质量的产品。这种技术整合不仅有望彻底改变 FSC,还能解决欺诈和非法捕鱼活动等问题,最终为消费者提供更优质、更透明的水产品。
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Seafood quality, adulteration, and traceability technology integrated with blockchain supply chain
The Fish Supply Chain (FSC) industry faces a significant challenge in efficiently and affordably preserving fish quality and detecting adulteration throughout the chain. Quality, Adulteration and Traceability (QAT) is a multi-mode spectroscopy and AI-based handheld device that is developed by our team to identify fish species and assess fish freshness that can be integrated into the FSC ecosystem. We conducted a survey interviewing professionals across the FSC, including harvesters, processors, distributors, and retailers and queried them about how they evaluate fish freshness and the major issues faced in freshness inspection and fraud detection. We learned that traditional sensory evaluation and electronic noses are the most common methods used for fish quality and freshness assessment. QAT technology will play a role as a substitute for current methods and will offer rapid results for fish species identification, quality assessment, and nutritional content analysis. Blockchain (BC), as a Distributed Ledger Technology (DLT), can be integrated with FSC to securely monitor and record fish quality and freshness values each step of the FSC. This helps in maintaining product integrity and provides stakeholders with access to the entire journey of the fish product. We extend our experiments to study the degradation of fish freshness throughout the FSC to trigger the system once the rate of decay exceeds a certain limit. These results should be used so BC integration with smart contracts be able to compare its freshness grade to the history of recorded values. If the degradation in freshness exceeds the expected range, then the smart contract should raise an alarm to alert the system. In this way, BC-based FSC incorporating QAT technology is able to detect any degradation and flag products that may have compromised freshness or quality. This integration of technologies not only promises to revolutionize the FSC but also addresses issues like fraud and illegal fishing activities, ultimately delivering higher-quality and more transparent fish products to consumers.
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