Blockchain and Cybersecurity Integration for Secure and Resilient Agricultural Supply Chains in the United States

The increasing digitization of agriculture in the United States has heightened exposure to cybersecurity risks such as data breaches, unauthorized access, and operational disruptions. This research explores the integration of blockchain technology with advanced cybersecurity measures to create secure, transparent, and resilient agricultural supply chains. A blockchain-based framework is proposed that incorporates decentralized ledger technology, smart contracts, multi-factor authentication, and real-time threat monitoring. Case studies including blockchain-enabled soybean traceability systems and secure food supply management architectures demonstrate that data integrity improved by up to 97%, traceability accuracy increased by 88%, and operational efficiency improved by 41% across selected implementations. The integration of blockchain minimizes centralized vulnerabilities and enables automated, tamper-proof data management across complex agricultural networks. Furthermore, cybersecurity protocols embedded within the framework protect against intrusions, support data privacy, and enhance stakeholder trust. Despite these advantages, notable challenges persist, including scalability limitations in high-volume agricultural systems, lack of interoperability with legacy infrastructure, and reluctance among stakeholders to adopt emerging technologies. Additionally, insufficient regulatory clarity and inconsistent data governance practices pose significant barriers to large-scale deployment. This study contributes to the growing discourse on digital agriculture by providing a practical model for secure data handling and operational resilience. It recommends further research into lightweight consensus mechanisms, real-time integration with AI-driven robotics and IoT systems, and economic viability assessments through pilot testing. By addressing these gaps, the agricultural sector can better safeguard national food security while enabling innovation-driven growth in an increasingly cyber-dependent environment.

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Publication Details

Journal
Asian Journal of Advances in Agricultural Research
Published
2025-03-29
DOI
https://doi.org/10.9734/ajaar/2025/v25i4606
Citations
1
Primary Topic
Smart Agriculture and AI
Type
article
Field-Weighted Citation Impact
1.75
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article

Blockchain and Cybersecurity Integration for Secure and Resilient Agricultural Supply Chains in the United States

Omobolaji Olufunmilayo Olateju
1 citations
Asian Journal of Advances in Agricultural Research
Smart Agriculture and AI
1.75
article

Blockchain and Cybersecurity Integration for Secure and Resilient Agricultural Supply Chains in the United States

Omobolaji Olufunmilayo Olateju
article en
1 citations

Abstract

The increasing digitization of agriculture in the United States has heightened exposure to cybersecurity risks such as data breaches, unauthorized access, and operational disruptions. This research explores the integration of blockchain technology with advanced cybersecurity measures to create secure, transparent, and resilient agricultural supply chains. A blockchain-based framework is proposed that incorporates decentralized ledger technology, smart contracts, multi-factor authentication, and real-time threat monitoring. Case studies including blockchain-enabled soybean traceability systems and secure food supply management architectures demonstrate that data integrity improved by up to 97%, traceability accuracy increased by 88%, and operational efficiency improved by 41% across selected implementations. The integration of blockchain minimizes centralized vulnerabilities and enables automated, tamper-proof data management across complex agricultural networks. Furthermore, cybersecurity protocols embedded within the framework protect against intrusions, support data privacy, and enhance stakeholder trust. Despite these advantages, notable challenges persist, including scalability limitations in high-volume agricultural systems, lack of interoperability with legacy infrastructure, and reluctance among stakeholders to adopt emerging technologies. Additionally, insufficient regulatory clarity and inconsistent data governance practices pose significant barriers to large-scale deployment. This study contributes to the growing discourse on digital agriculture by providing a practical model for secure data handling and operational resilience. It recommends further research into lightweight consensus mechanisms, real-time integration with AI-driven robotics and IoT systems, and economic viability assessments through pilot testing. By addressing these gaps, the agricultural sector can better safeguard national food security while enabling innovation-driven growth in an increasingly cyber-dependent environment.

Asian Journal of Advances in Agricultural ResearchVol. 25(4)
University of Ibadan (NG)
Openalex Percentile: Top 16%
Smart Agriculture and AI
1.75
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Blockchain and Cybersecurity Integration for Secure and Resilient Agricultural Supply Chains in the United States — Omobolaji Olufunmilayo Olateju · Asian Journal of Advances in Agricultural Research (2025) | TGRS Research Map | TGRS