Funded by the European Union. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or the National Agency. Neither the European Union nor National Agency can be held responsible for them.
This module has provided a comprehensive overview of blockchain technology and its applications within the AgriFood chain.
We have explored the fundamental concepts of blockchain, its decentralized nature, and the transformative potential it holds for various industries, including agriculture.
By delving into real-world examples and case studies, we have witnessed how blockchain is revolutionizing supply chain management, ensuring food safety, enhancing transparency, and fostering innovation in the agricultural sector.
Through understanding the challenges and opportunities presented by blockchain technology, stakeholders in the AgriFood chain can better navigate the complexities of data standardization, privacy, infrastructure, and implementation costs.
Moreover, we have highlighted the crucial role of collaboration among governments, agricultural organizations, and technology providers in driving the adoption of blockchain and realizing its full potential in advancing the AgriFood industry.
It is imperative to empower farmers and stakeholders with the knowledge and skills needed to leverage blockchain effectively.
By embracing blockchain technology, we can create a more resilient, sustainable, and transparent AgriFood ecosystem that enhances trust, improves efficiency, and ultimately benefits consumers, producers, and the environment alike.
Adil El Mane, Younes Chihab, Khalid Tatane, Redouan Korchiyne, "Agriculture Supply Chain Management Based on Blockchain Architecture and Smart Contracts", Applied Computational Intelligence and Soft Computing, vol. 2022, Article ID 8011525, 23 pages, 2022. https://doi.org/10.1155/2022/8011525
Akella, G.K.; Wibowo, S.; Grandhi, S.; Mubarak, S. A Systematic Review of Blockchain Technology Adoption Barriers and Enablers for Smart and Sustainable Agriculture. Big Data Cogn. Comput. 2023, 7, 86. https://doi.org/10.3390/bdcc7020086
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