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A crowdsensing-based smartphone app for optimal food storage and real-time best-before dates

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dc.contributor.authorSenge, Julia
dc.contributor.authorMielinger, Ellen
dc.contributor.authorWendt, Marie Catherine
dc.contributor.authorWeinrich, Ramona
dc.contributor.authorKrupitzer, Christian
dc.date.accessioned2024-04-08T11:56:36Z
dc.date.available2024-04-08T11:56:36Z
dc.date.issued2024
dc.description.abstractPrivate households are responsible for 59% of Germany’s 11 million tons of food waste. Consumers’ behavior significantly contributes to food waste, prompting our concept to develop a smartphone application aimed at diminishing uncertainties about food expiration and safety. Utilizing a Design Science approach, we developed a prototype for a smartphone app, integrating novel functionalities to minimize food waste at the consumer household level. We analyzed existing market applications and, as a result, introduced the Freshlimeter, a unique feature that estimates the real-time best-before date within our app using feedback from consumers. We also highlight the potential for innovative app features, such as integrating a chatbot with image recognition capabilities to enable freshness assessments, especially for unpackaged or opened food.en
dc.identifier.doi10.18420/giljt2024_04
dc.identifier.isbn978-3-88579-738-8
dc.identifier.issn2944-7682
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/43911
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartof44. GIL - Jahrestagung, Biodiversität fördern durch digitale Landwirtschaft
dc.relation.ispartofseriesLecture Notes in Informatics(LNI) - Proceedings, Volume P - 344
dc.subjectagri-food chain
dc.subjectagri-food systems
dc.subjectdesign science approach
dc.subjectfood waste
dc.subjectmachine learning
dc.subjectsmartphone application
dc.titleA crowdsensing-based smartphone app for optimal food storage and real-time best-before datesen
dc.typeText/Conference Paper
gi.citation.endPage412
gi.citation.publisherPlaceBonn
gi.citation.startPage407
gi.conference.date27.-28. Februar 2024
gi.conference.locationStuttgart
gi.conference.reviewfull

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