食物足迹:计算食谱的碳足迹

Pulkit Piplani, Pritish Gulati, Shayna Malik, Shashwat Goyal, M. Gurbaxani, Ganesh Bagler
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引用次数: 1

摘要

碳足迹(CF)是对一种产品排放的温室气体总量的估计,从而评估所提供的产品或服务对气候变化的贡献。碳足迹已经成为环境辩论的中心议题,因为制造商面临越来越大的压力,要求他们公布产品对环境的影响。计算配方的CF是一项复杂的任务,因为自然过程本身是可变的。在这项研究中,我们计算了来自RecipeDB[2]的67,000多个食谱的CF。本研究的目的是通过开发一种软件来计算不同食谱的CF,从而促进有效的消费者沟通策略的设计。它还考虑特定配方中的成分,这些成分在数据集中不可用,达到一定的阈值,并授予它们CF的平均值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
FoodPrint: Computing Carbon Footprint of Recipes
Carbon footprint (CF) is an estimate of the total amount of greenhouse gases emitted by a product, thus assessing the contribution to climate change from the product or service provided [1]. Carbon footprint has acquired center stage in environmental debate as there has been increasing pressure on manufacturers to declare their product's impact on the environment. Calculating the CF of a recipe is a complex task because natural processes are inherently variable. In this study, we calculate the CF of more than 67,000 recipes from RecipeDB [2]. This study aims to facilitate the design of an effective consumer communication strategy through a software developed for computing CF for a diverse set of recipes. It also considers ingredients in a particular recipe that are not available in the dataset upto a certain threshold and grants them an average value of CF.
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