CHOICE D4.1 Review of digital tools for promoting food mitigation measures
Abstract
The development of digital tools has revolutionised the approach to managing food systems, offering innovative solutions to mitigate food waste and enhance food security. This review examines the current landscape of digital tools and their application in promoting food mitigation measures. We explore a range of digital solutions, from consumer-focused apps that encourage sustainable eating habits to industry-level systems that optimize food supply management. The effectiveness of these tools in reducing food loss and waste is critically assessed, drawing on recent studies that highlight the potential of artificial intelligence, machine learning, and Industry 4.0 technologies in the food sector (Principato et al., 2023; Tancredi, Vignali, & Bottani, 2022). Additionally, we consider the role of digital tools in dietary assessment and monitoring, which are essential for informing public health strategies (Chen, Grech, & Allman-Farinelli, 2022; Manners et al., 2022). The review also discusses the challenges and opportunities presented by digital tools, including the need for tailored solutions that address the unique requirements of different populations and sectors (Marra, 2022; Pan, Ren, Vos, & Brombacher, 2021). By synthesizing current research and case studies, this review provides insights into the interconnections between digital innovations and food mitigation, offering a comprehensive understanding of how these tools can contribute to more sustainable food systems. This study was implemented as part of Task 4.1 of the CHOICE project to review the most impactful digital tools linked to food mitigation measures and to understand their impact on food system sustainability. https://www.climatechoice.eu/resources/
Fields of Study & Subjects
Food Waste Reduction and Sustainability
Food Supply Chain Traceability
Agriculture Sustainability and Environmental Impact
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 28 January 2026