Blazheska-Tabakovska, Natasha and Petrovski, Gjorgi and Bogdanoska Jovanovska, Mimoza and Trajkovska-Petkoska, Anka (2026) A Decision Support Model for CO2-Based Food Portion Selection. In: 61st International Scientific Conference on Information, Communication and Energy Systems and Technologies (ICEST),, 01-03 July 2026, Nis, Serbia.
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Abstract
This paper presents a data-driven application for estimating CO2 emissions per food portion, enabling users to assess the environmental impact of their dietary choices. Carbon dioxide (CO2) is one of the primary drivers of contemporary climate change, and it is released not only through industrial activities and transportation, but also throughout the life cycle of food products-including production, processing, transportation, and consumption. Despite this, the environmental impact of food is often underestimated, and awareness of how everyday dietary choices contribute to overall emissions remains limited. The system is based on a structured carbon footprint database and translates emissions data into clear, practical information to support more informed decisionmaking about food consumption. The proposed solution integrates sustainability principles with computational methods, demonstrating how data-driven approaches can enhance environmental awareness. By quantifying the CO2 footprint of food portions, the application provides a practical tool for understanding the environmental consequences of everyday dietary decisions. Overall, the paper highlights the potential of combining environmental assessment concepts with software implementation to support sustainability-oriented decisionmaking in real-world contexts.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Subjects: | Scientific Fields (Frascati) > Natural sciences > Computer and information sciences |
| Divisions: | Faculty of Information and Communication Technologies |
| Depositing User: | Mrs Natasha Blazheska-Tabakovska |
| Date Deposited: | 25 Sep 2026 15:39 |
| Last Modified: | 25 Sep 2026 15:39 |
| URI: | https://eprints.uklo.edu.mk/id/eprint/11821 |
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