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The Quest for Environmental Information -Towards a Mobile Application for GHG Emission Tracking in Meat Production Processes

机译:环境信息的追求-肉类生产过程中温室气体排放追踪的移动应用程序

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In the context of increasing greenhouse gas emissions, especially the meat processing industry is under pressure by the society to report their product's environmental impact, which is ten times higher than for products from vegetable origin. However, meat processing companies struggle with the collection and provision of detailed data, as production processes are complex and variable. Recent research showed that automated sensor systems could provide environment relevant information. Nonetheless, these sensors are not diffused in practice. One solution is the usage of mobile devices in production processes to collect environmental data for product carbon footprints. In this study, we present an action design research project, developing a mobile application for GHG emission data collection, using OCR algorithms for automated sensor read-out tasks. An evaluation showed that practitioners perceive the application to be efficient, thus coping with missing automated sensor systems for GHG emission reporting processes.
机译:在温室气体排放增加的背景下,尤其是肉类加工业受到社会的压力,要求其报告其产品对环境的影响,这比源自蔬菜的产品要高十倍。但是,由于生产过程复杂且易变,因此肉类加工公司在收集和提供详细数据方面遇到了困难。最近的研究表明,自动传感器系统可以提供与环境有关的信息。但是,这些传感器在实践中不会扩散。一种解决方案是在生产过程中使用移动设备来收集产品碳足迹的环境数据。在这项研究中,我们提出了一个行动设计研究项目,该项目使用OCR算法开发用于温室气体排放数据收集的移动应用程序,以实现传感器自动读取任务。一项评估表明,从业人员认为该应用程序是有效的,因此可以应对温室气体排放报告流程中缺少的自动传感器系统。

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