AIMC Topic: Food Loss and Waste

Clear Filters Showing 1 to 4 of 4 articles

Reducing food waste in the HORECA sector using AI-based waste-tracking devices.

Waste management (New York, N.Y.)
This study assesses the effectiveness of an intervention employing an AI-based, fully automatic waste-tracking system for food waste reduction in HORECA establishments. Waste-tracking devices were installed in a restaurant within a holiday resort and...

Exploring interactive effects of environmental and microbial factors on food waste anaerobic digestion performance: Interpretable machine learning models.

Bioresource technology
Biogas yield in anaerobic digestion (AD) involves continuous and complex biological reactions. The traditional linear models failed to quantitatively assess the interactive effects of these factors on AD performance. To further explore the internal r...

Machine learning for enhancing prediction of biogas production and building a VFA/ALK soft sensor in full-scale dry anaerobic digestion of kitchen food waste.

Journal of environmental management
Based on operational data collected over 1.5 years from four full-scale dry anaerobic digesters used for kitchen food waste treatment, this study adopted eight typical machine learning algorithms to distinguish the best biogas prediction model and to...

Review of Advanced Technologies and Circular Pathways for Food Waste Valorization.

Journal of agricultural and food chemistry
Food waste (FW) valorization provides a sustainable solution to global waste challenges by enhancing resource efficiency and enabling a circular bioeconomy. This review highlights the need to shift from linear disposal to circular strategies and asse...