A HYBRID AGRICULTURE OF BLOCKCHAIN AND DIGITAL TWIN TECHNOLOGIES FOR FOOD SECURITY
Sreekala, T. (2025) A HYBRID AGRICULTURE OF BLOCKCHAIN AND DIGITAL TWIN TECHNOLOGIES FOR FOOD SECURITY. In: 16 INTERNATIONAL CONFERENCE ON SCIENCE AND INNOVATIVE ENGINEERING. Prince Dr. K. Vasudevan College of Engineering and Technology. ISBN 978-81-983498-5-9 (Submitted)
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Abstract
The integration of Hyperledger Fabric blockchain and digital twin technologies offers a transformative
approach to managing the agricultural food supply chain by enhancing transparency, efficiency, and
resilience. Agricultural supply chains are inherently complex, facing challenges such as lack of real
time visibility, data silos, inefficiencies, and trust deficits among stakeholders including farmers,
processors, distributors, and retailers. Hyperledger Fabric, a permissioned blockchain, addresses these
issues by enabling secure, tamper-proof, and decentralized transaction recording, thereby strengthening
trust and traceability, though its reliance on periodic data inputs limits real-time responsiveness. To
overcome this, digital twins—virtual models of physical entities and processes—enable real-time
monitoring and synchronization with the physical environment, and when integrated with blockchain,
they create a dynamic, continuously updated representation of the supply chain that provides timely
insights for decision-making. This combined framework improves visibility across crop growth,
harvesting, storage, and transportation, helping stakeholders respond swiftly to disruptions, reduce
waste, and enhance coordination. A notable application lies in agri-insurance, where smart contracts
linked to digital twin simulations of environmental risks such as drought or pests enable predictive risk
management, automated claims processing, and dynamic premium adjustments, thereby increasing
farmer resilience and reducing administrative burdens. Furthermore, by complementing blockchain’s
immutable records with real-time crop health and environmental data, the integration strengthens digital
traceability, ensures accurate provenance, and supports predictive analytics for resilience planning.
Ultimately, by shifting supply chain management from reactive to proactive, this innovation promotes
food security, sustainability, operational clarity, and trust among all participants in the agricultural value
chain.
| Item Type: | Book Section |
|---|---|
| Subjects: | Computer Science Engineering > Data Science |
| Domains: | Computer Science |
| Depositing User: | Mr IR Admin |
| Date Deposited: | 08 May 2026 07:00 |
| Last Modified: | 08 May 2026 07:00 |
| URI: | https://ir.vistas.ac.in/id/eprint/14130 |
