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A cloud model for real-time fresh produce transportation management

机译:实时生鲜农产品运输管理的云模型

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Increasing consumer demand for variety, stringent national and international regulatory frameworks, and a large number of small and medium providersr witthin the organic fresh produce industry has resulted in highly complex food supply chata networks,Complexity has resulted in a reduction in the transparency and testability of the supply chain network and increased food wastage during transportation. This paper proposes the adaption of a model called MOVIE (Model of Operations for Views and Intelligent Events) in the food industry and this, we argue, addresses such issues. The proposed real-time event controlled system incorporates the cloud and various mesMging protocols to facilitate communication between the various stakeholders In the fresh produce industry. The model scrutinizes the physical and environmental characteristics pertaining to the transported fruit and vegetables using sensor systems by generating big data' that are analysed on a real-time basis. As such it effectively increases the traceability and testability of the product on a real-time basis and decreases wastage during the transportation process. Improved traceability has a positive influence on the perception of the quality and, in turn, improves consumer confidence. Via social media, consumers can directly receive and update information pertaining to product status. MOVIE analyses data in real-time, an improvement over existing systems that analyse archival data.
机译:消费者对品种的需求增加,严格的国家和国际法规框架以及有机新鲜农产品行业中的大量中小型供应商导致了高度复杂的食品供应商网络,复杂性降低了食品的透明度和可测试性供应链网络和运输过程中食品浪费的增加。本文提出了在食品行业中采用名为MOVIE(用于视图和智能事件的操作模型)的模型的建议,我们认为这是针对此类问题的。所提出的实时事件控制系统结合了云和各种消息管理协议,以促进生鲜行业中各个利益相关者之间的通信。该模型使用传感器系统通过生成实时分析的大数据来检查与运输的水果和蔬菜有关的物理和环境特征。因此,它可以有效地实时提高产品的可追溯性和可测试性,并减少运输过程中的浪费。可追溯性的提高对质量的感知有积极的影响,进而提高了消费者的信心。消费者可以通过社交媒体直接接收和更新与产品状态有关的信息。 MOVIE实时分析数据,这是对分析档案数据的现有系统的改进。

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