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A systematic review on blockchain technology adoption barriers and enablers for smart and sustainable agriculture

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posted on 2024-06-13, 06:01 authored by Gopi AkellaGopi Akella, Santoso WibowoSantoso Wibowo, Srimannarayana GrandhiSrimannarayana Grandhi, Sameera Mubarak
Smart and sustainable agricultural practices are more complex than other industries as the production depends on many pre- and post-harvesting factors which are difficult to predict and control. Previous studies have shown that technologies such as blockchain along with sustainable practices can achieve smart and sustainable agriculture. These studies state that there is a need for a reliable and trustworthy environment among the intermediaries throughout the agrifood supply chain to achieve sustainability. However, there is limited studies on blockchain technology adoption for smart and sustainable agriculture. Therefore, this systematic review uses PRISMA technique to explore the barriers and enablers of blockchain adoption for smart and sustainable agriculture. Data was collected using exhaustive selection criteria and filters to evaluate the barriers and enablers of blockchain technology for smart and sustainable agriculture. The results provide adoption enablers such as stakeholder collaboration, enhance customer trust, and democratization and barriers such as global standards, industry level best practices and policies for blockchain adoption in the agrifood sector. The outcome of this review highlights the adoption barriers over enablers of blockchain technology for smart and sustainable agriculture. Furthermore, several recommendations and implications are presented for addressing knowledge gaps for successful implementation.

History

Volume

7

Issue

2

Start Page

1

End Page

22

Number of Pages

22

eISSN

2504-2289

ISSN

2504-2289

Publisher

MDPI

Additional Rights

CC-BY

Language

en

Peer Reviewed

  • Yes

Open Access

  • Yes

Acceptance Date

2023-04-28

Author Research Institute

  • Centre for Intelligent Systems

Era Eligible

  • Yes

Journal

Big Data and Cognitive Computing

Article Number

86

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