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Unveiling the hidden patterns of household food waste
Department of Energy and Technology, Swedish University of Agricultural Sciences, Box 7032, SE-75007 Uppsala, Sweden.
Department of Energy and Technology, Swedish University of Agricultural Sciences, Box 7032, SE-75007 Uppsala, Sweden.
Department of Energy and Technology, Swedish University of Agricultural Sciences, Box 7032, SE-75007 Uppsala, Sweden.
Department of Energy and Technology, Swedish University of Agricultural Sciences, Box 7032, SE-75007 Uppsala, Sweden.
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2025 (English)In: Current Research in Environmental Sustainability, E-ISSN 2666-0490, Vol. 9, article id 100292Article in journal (Refereed) Published
Abstract [en]

Among the methods commonly used for quantifying food waste in households, there are limitations that affect the reliability of quantification results. To address these, this study used an automated quantification tool to objectively and with high precision quantify food waste in 28 Swedish households for an extended period, reaching a total of 3945 quantification days. The results showed that the average daily waste amounted to 0.159 kg per person. Recorded food waste displayed a large variation between days, weeks and months, suggesting that long-term quantification is necessary for precision. As the results indicated, between 115 and 569 quantification days is necessary to provide an average estimate with a ± 10 % precision. This study presents empirical evidence demonstrating the feasibility and opportunities of automated food waste quantification, emphasizing the importance of extended measurement periods, high-frequency data collection, and minimal user intervention on designing effective waste tracking systems.

Place, publisher, year, edition, pages
Elsevier, 2025. Vol. 9, article id 100292
National Category
Environmental Sciences
Research subject
Resource Recovery
Identifiers
URN: urn:nbn:se:hb:diva-33532DOI: 10.1016/j.crsust.2025.100292ISI: 001476997400001Scopus ID: 2-s2.0-105002772266OAI: oai:DiVA.org:hb-33532DiVA, id: diva2:1959206
Funder
Swedish Environmental Protection Agency, 2022\u201300077Available from: 2025-05-19 Created: 2025-05-19 Last updated: 2026-03-20Bibliographically approved

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Brancoli, PedroSyed, SamiraRousta, Kamran

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