BLOCKCHAIN-ENABLED TRACEABILITY SYSTEMS FOR SUSTAINABLE AGRICULTURAL SUPPLY CHAINS INTEGRATION WITH IOT AND CARBON ACCOUNTING STANDARDS

Unofficial AI-generated summary based on the public title and abstract. Not an official translation.

🔬研究者:Offers a modular reference architecture and research agenda for blockchain-IoT-enabled carbon accounting; useful for system design and evaluation studies.

🏢実務担当者:Provides a blueprint for automated, auditable carbon footprint traceability to meet CSRD and customer disclosure requests in agri-food supply chains.

🏛政策担当者:Suggests how verifiable data infrastructures could support carbon accounting regulation; useful for designing data integrity and interoperability requirements.

Consumer demand for food provenance and tightening regulatory requirements for sustainability reporting, particularly carbon accounting under frameworks such as the EU Corporate Sustainability Reporting Directive, are driving the need for transparent and verifiable agricultural supply chains. While Internet of Things (IoT) sensors have advanced significantly in monitoring farm conditions, logistics, and storage, the data they produce often remains fragmented and susceptible to tampering. Blockchain technology offers an immutable, decentralized ledger capable of creating a tamper-proof chain of custody from farm to consumer. When integrated with IoT data streams and standardized carbon accounting methodologies, blockchain-enabled systems can provide end-to-end traceability, automated carbon footprint calculation, and credible sustainability verification. This PhD research report proposes the design, development, and validation of integrated blockchain-IoT frameworks for sustainable agricultural supply chains with explicit linkage to carbon accounting standards. The work addresses key informatics challenges including reliable oracle mechanisms for sensor data, data standardization and interoperability, smart contract design for traceability events and carbon calculations, scalability, privacy considerations, and alignment with regulatory reporting requirements. Building on systematic reviews of blockchain in food traceability and emerging work on blockchain for carbon footprint tracking, the research aims to deliver a practical, scalable architecture validated through pilot implementations in representative agri-food chains. Key contributions include a modular reference architecture integrating IoT sensing, blockchain traceability, and carbon accounting; smart contract frameworks for automated event recording and emission calculations; methods for verifiable data input from physical sensors; and empirical evaluation of traceability completeness, data integrity, carbon accounting accuracy, and stakeholder usability. The report emphasizes both theoretical rigor in system design and experimental grounding through real-world pilots, positioning the work to support immediate commercial applications and regulatory compliance in sustainable agriculture.

• openalex https://doi.org/10.5281/zenodo.21045377first seen 2026-08-02 18:43:01