Pulse Brain · Growing Health Evidence Index
Tier 4 — Narrative / commentaryPeer-reviewed

The current state of carbon footprint quantification and tracking in the agri-food industry

Jozef Čapla; P. Zajác; J. Čurlej; O. Hanušovský

Scifood · 2025

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Summary

This comprehensive review examines current methodologies for quantifying and tracking carbon footprints across the agri-food sector, which contributes approximately 30% of global energy consumption and substantial GHG emissions. The authors evaluate established standards (GHG Protocol, ISO 14064/14067, LCA, PAS 2050) through a wheat-to-bread case study, identifying key barriers including data gaps, supply chain complexity, standardization inconsistencies, and SME resource constraints. The paper emphasises that digital technologies (AI, blockchain, IoT), harmonised reporting frameworks, and supportive policy mechanisms are essential to improve carbon accounting accuracy and accelerate decarbonisation.

UK applicability

The findings and recommendations are directly applicable to UK agri-food policy and practice, particularly in relation to evolving sustainability regulations and alignment with carbon neutrality goals. UK food producers and policymakers can adopt the reviewed methodologies and digital solutions to improve carbon tracking, though SME-specific support mechanisms may be needed to address resource constraints.

Key measures

Carbon footprint quantification frameworks; GHG emissions (CO₂, CH₄, N₂O) across agri-food subsectors; data availability and quality metrics; digital technology adoption for emission monitoring

Outcomes reported

The paper reviews carbon footprint assessment methodologies (GHG Protocol, ISO standards, LCA, PAS 2050) and their application across food production systems, with a case study on the wheat-to-bread supply chain. It identifies livestock and fisheries as the highest-emitting subsectors whilst plant-based foods show significantly lower carbon footprints.

Theme
Measurement & metrics
Subject
Climate & greenhouse gas mitigation
Study type
Narrative Review
Study design
Narrative review
Source type
Peer-reviewed study
Status
Published
Geography
Europe
System type
Food supply chain
DOI
10.5219/scifood.28
Catalogue ID
NRmoh0e4lq-006

Topic tags

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