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CodeCheck: How do our food choices affect climate change?

Drikvandi, Reza; Williams, Angus; Boustati, Ayman; Ezer, Daphne; Arenas, Diego; de Wiljes, Jan-Hendrik; Chang, Marina; Varga, Marton; Groves, Matthew; Ceritli, Taha

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Authors

Reza Drikvandi

Angus Williams

Ayman Boustati

Daphne Ezer

Diego Arenas

Jan-Hendrik de Wiljes

Marina Chang

Marton Varga

Matthew Groves

Taha Ceritli



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.

Citation

Drikvandi, R., Williams, A., Boustati, A., Ezer, D., Arenas, D., de Wiljes, J., …Ceritli, T. (2018). CodeCheck: How do our food choices affect climate change?

Report Type Project Report
Online Publication Date Sep 13, 2018
Publication Date 2018-09
Deposit Date Oct 6, 2020
Publicly Available Date Nov 2, 2020
DOI https://doi.org/10.5281/zenodo.1415344
Additional Information Journal Name: The Alan Turing Institute
Publisher: The Alan Turing Institute
Type: monograph
Subtype: project_report

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