Cookies

We use cookies to ensure that we give you the best experience on our website. By continuing to browse this repository, you give consent for essential cookies to be used. You can read more about our Privacy and Cookie Policy.


Durham Research Online
You are in:

CodeCheck : how do our food choices affect climate change?

Drikvandi, Reza and Williams, Angus and Boustati, Ayman and Ezer, Daphne and Arenas, Diego and de Wiljes, Jan-Hendrik and Chang, Marina and Varga, Marton and Groves, Matthew and Ceritli, Taha (2018) 'CodeCheck : how do our food choices affect climate change?', Project Report. The Alan Turing Institute.

Abstract

Different approaches were proposed to predict the carbon footprint of products from the different datasets provided by CodeCheck. Multivariate linear regression and random forest regression models perform well in predicting carbon footprint, especially when - in addition to the nutrition information - the product categories, learned through Latent Dirichlet Allocation (LDA), were used as extra features in the models. The prediction accuracy of the models that were considered varied across datasets. A potential way to display the footprint estimates in the app was proposed.

Item Type:Monograph (Project Report)
Full text:(VoR) Version of Record
Available under License - Creative Commons Attribution Share Alike.
Download PDF
(3737Kb)
Status:Peer-reviewed
Publisher Web site:http://doi.org/10.5281/zenodo.1415344
Publisher statement:This report has been published under a Creative Commons Attribution Share Alike 4.0 International.
Date accepted:No date available
Date deposited:02 November 2020
Date of first online publication:13 September 2018
Date first made open access:02 November 2020

Save or Share this output

Export:
Export
Look up in GoogleScholar