Skip to content
Research Article Open access CC BY 4.0

Blockchain-Enabled Circular Agri-food Systems: Advances and Applications

Shanmugam Gokul, Ishaq Amjad Hussain, Veerapandian Karthick, Sathyasekaran Manoj Kumar, Ramasubramanian Sabarivasan

Journal of Scientific Research and Reports · pp. 411–440 · Published 8 Dec 2025

10.9734/jsrr/2025/v31i123787

Abstract

The threat to global agri-food systems has been on the rise due to climate change, environmental degradation, and resource inefficiencies. This study examines the potential of blockchain technology, combined with digital technologies such as the Internet of Things (IoT) and Artificial Intelligence (AI), to facilitate the transition to more circular and sustainable agri-food systems. The discussion relates the decentralized, immutable data model of blockchain to the concepts of the circular economy (CE) to enhance transparency, accountability, and value generation throughout agricultural production, clean energy generation, and resource recovery. The potential of blockchain to remove information asymmetry, lower transaction fees, and secure data integrity is used to support new nutrient recycling mechanisms, renewable energy trading, and carbon credit markets. The successful application of blockchain-driven models in Europe, India, Africa, and Latin America has proven the resource efficiency, sustainable biomass feedstocks, and smallholder empowerment using fair and automated payment systems. The socio-economic dimensions are also addressed, and the emphasis is on inclusiveness, fair distribution of benefits, and compatibility of regulations in the context of the UN Sustainable Development Goals (SDGs). The study finds that blockchain-enabled circular agri-food systems provide a credible, data-driven solution to a sustainable environment and socio-economic transformation.

Agri-food systems blockchain technology circular economy sustainable development goals

Cited by 0

No indexed citations yet.

Article metrics

Real usage data collected on this platform.

0

Page views

0

PDF downloads

0

Outbound clicks

0

Citations

Views by country

Approximate, from request IP at view time — not citizenship or institution. Countries with fewer than 5 views are grouped as "Other".

No views recorded yet.

Traffic sources

Referring site, by host.

No traffic recorded yet.

Views and downloads exclude known bots/crawlers. Citations combines this platform's own DOI-resolved index with each external source's own reported total — see Cited by above for individually listed citing works. Last refreshed 0 seconds ago.