Novel AI to improve quality control and reduce food waste in seafood supply chains

新颖的人工智能可改善海鲜供应链中的质量控制并减少食物浪费

• 批准号: 10045698
• 金额: $ 6.37万
• 依托单位: QTRACE LTD
• 依托单位国家: 英国
• 项目类别: Grant for R&D
• 财政年份: 2022
• 资助国家: 英国
• 起止时间: 2022 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=10045698
• 关键词: Novel; AI; improve; quality; control

Seafood is in increasing short supply, with overfishing and supply chain waste causing depletion of global seafood stocks. According to research by Seafood.org, 57% seafood spoils between catch and service and is completely avoidable. The environmental impact is not always obvious: trawlers are overfishing to account for demand, incorporating spoilage into their quotas. By reducing spoilage, we have the potential to prevent overfishing. It also creates carbon emissions and reduces producer profitability. Qtrace ("Quality Trace") is building a quality control tool that utilises AI, image recognition and machine learning to assess the quality of seafood at each stage of the cold chain. Qtrace generates actionable data to support informed and real-time decision-making for seafood producers and buyers, reducing food and plastic packaging waste from rejections. Our vision is to increase product traceability and process transparency and in time make recommendations to seafood producers who regularly deliver sub-standard seafood. We want to increase supply chain optics on origin, quality and sustainability practices in the incumbent fishing industry. In this project Qtrace will improve its technology to make it more usable for quality checks and achieve waste and emissions reductions. The outcome of this phase of development is a new supply chain QC system powered by a data-driven product grading system.

海鲜供应日益短缺，过度捕捞和供应链浪费导致全球海鲜库存枯竭。根据 Seafood.org 的研究，57% 的海鲜在捕获和食用之间会变质，这是完全可以避免的。环境影响并不总是显而易见：拖网渔船为了满足需求而过度捕捞，将腐败情况纳入其配额。通过减少腐败，我们有可能防止过度捕捞。它还会产生碳排放并降低生产商的盈利能力。 Qtrace（“质量追踪”）正在构建一种质量控制工具，利用人工智能、图像识别和机器学习来评估冷链每个阶段的海鲜质量。 Qtrace 生成可操作的数据，以支持海鲜生产商和买家做出明智的实时决策，减少因拒绝而产生的食品和塑料包装浪费。我们的愿景是提高产品可追溯性和流程透明度，并及时向经常提供不合格海鲜的海鲜生产商提出建议。我们希望增强现有渔业中对原产地、质量和可持续性实践的供应链视角。在该项目中，Qtrace 将改进其技术，使其更适用于质量检查，并实现废物和排放的减少。此阶段开发的成果是由数据驱动的产品分级系统提供支持的新供应链质量控制系统。