SOURCE-LINKED INTELLIGENCE
A Machine Learning Framework for Predicting Restaurant Food Waste to Support Sustainable Food Management
Food waste in the restaurant sector poses a substantial challenge to environmental sustainability and economic efficiency. This paper presents an exploratory machine learning framework for estimating daily restaurant food waste quantities from operational and contextual features. A structured dataset was constructed by integrating restaurant demand records, meteorological data and temporal event indicators, yielding 77,980 records across 27 features. Because large-scale ground-truth food waste measurements are not publicly available, the target variable was derived from operationally justified
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-08T00:43:53.000Z
First collected: 2026-09-20T20:22:01.598Z. This is not the publication date.