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Other literature type . 2022
License: CC BY
Data sources: ZENODO
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Conference object . 2022
License: CC BY
Data sources: Datacite
ZENODO
Conference object . 2022
License: CC BY
Data sources: Datacite
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Fungible and Non-Fungible Tokens in Agriculture Production

Authors: Sendros, Andreas; Drosatos, George; Efraimidis, Pavlos; Tsirliganis, Nestor;

Fungible and Non-Fungible Tokens in Agriculture Production

Abstract

Blockchain technologies have experienced remarkable growth in recent years due to the disruptions they have brought to many different sectors. Monitoring crucial data and ensuring the transactions' integrity and immutability stand out among this technology's benefits. An additional feature is the tokens, a form of digital assets that can be effectively implemented on blockchains and provide a natural way to represent physical objects digitally. This representation can support the certification and traceability of a product from the farm to the fork. These services are crucial in supply chains such as agriculture, which has open issues due to the fact that it is one of the industries with the least integration of digital technologies. This work examines Ethereum tokens' use in agricultural production lines. Our goal is to study if popular token definitions like ERC20, ERC721, and ERC1155 fit the functional requirements of representation of agricultural production in DApps. Our criteria are the gas cost, retrieval time of product information, and implementation difficulty. We use the grape production process as a case study. The overarching purpose is to examine the tokens in simple and complex supply chain scenarios and the possibilities of improving these structures.

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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green