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

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2024

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Gesellschaft für Informatik e.V.

Zusammenfassung

Private 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.

Beschreibung

Senge, Julia; Mielinger, Ellen; Wendt, Marie Catherine; Weinrich, Ramona; Krupitzer, Christian (2024): A crowdsensing-based smartphone app for optimal food storage and real-time best-before dates. 44. GIL - Jahrestagung, Biodiversität fördern durch digitale Landwirtschaft. DOI: 10.18420/giljt2024_04. Bonn: Gesellschaft für Informatik e.V.. ISSN: 2944-7682. PISSN: 1617-5468. ISBN: 978-3-88579-738-8. pp. 407-412. Stuttgart. 27.-28. Februar 2024

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