Semantic Based Carbon Footprint of Food Supply Chain Management

Swapnali Yadav, M. Powers, Edlira Vakaj, S. Tiwari, Fernando Ortiz-Rodríguez, José-Lázaro Martínez-Rodríguez
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Abstract

Climate change is one of the biggest issues we face, besides Covid [6], we head into the future. Many strive to live more sustainably so that the choices made in our daily lives don’t adversely impact our planet. Food is one area of sustainability that is focused on, especially the impact of what we eat and how we can make choices that do not negatively affect the environment. The problem is how to effectively model the environmental impact of food production in a way that is useful to consumers, food manufacturers, and other individuals concerned about sustainability. To address this, an ontology and a knowledge graph are developed to capture CO2 emissions emitted by the various stages involved in the manufacture and distribution of food as a barometer for environmental impact, potential alternatives, and how the CO2 emissions measure up. The scope of our work is limited to the environmental impact of food production as measured by CO2 emissions and categories including feeding animals, land use, and transportation.
基于语义的食品供应链碳足迹管理
气候变化是我们面临的最大问题之一,除了新冠肺炎[6],我们正在走向未来。许多人努力以更可持续的方式生活,这样我们在日常生活中做出的选择就不会对我们的星球产生负面影响。食物是可持续发展的一个重点领域,尤其是我们所吃的食物的影响,以及我们如何做出不会对环境产生负面影响的选择。问题是如何以一种对消费者、食品制造商和其他关注可持续性的个人有用的方式,有效地模拟食品生产对环境的影响。为了解决这个问题,我们开发了一个本体论和一个知识图来捕捉食品生产和分销各个阶段排放的二氧化碳,作为环境影响、潜在替代方案以及二氧化碳排放如何衡量的晴雨表。我们的工作范围仅限于以二氧化碳排放量衡量的粮食生产对环境的影响,以及包括饲养动物、土地使用和运输在内的类别。
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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