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Research paper | Open Access

A MCIN-based architecture of smart agriculture

Xiang GuYueting Chai( )Yi LiuJianping ShenYadong HuangYixuan Nan
National Engineering Laboratory for E-Commerce Technologies, Tsinghua University, Beijing, China
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Abstract

Purpose

Material conscious and information network (MCIN) is a kind of cyber physics social system. This paper aims to study the MCIN modeling method and design the MCIN-based architecture of smart agriculture (MCIN-ASA) which is different from current vertical architecture and involves production, management and commerce. Architecture is composed of three MCIN-ASA participants which are MCIN-ASA enterprises, individuals and commodity.

Design/methodology/approach

Architecture uses enterprises and individuals personalized portals as the carriers which are linked precisely with each other through a peer-to-peer network called six-degrees-of-separation block-chain. The authors want to establish a self-organization, open and ecological operational system which includes active, personalized consumption, direct, centralized distribution, distributed and smart production.

Findings

The paper models three main MCIN-ASA participants, namely, design the smart supply, demand and management functions, which show the feasibility innovation and high efficiency of implementing MCIN on agriculture. At the same time, the paper presents a prototype system based on the architecture.

Originality/value

The authors think that MCIN-ASA improves current agriculture greatly and inspires a lot in production-marketing-combined electronic commerce.

References

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International Journal of Crowd Science
Pages 237-248

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Cite this article:
Gu X, Chai Y, Liu Y, et al. A MCIN-based architecture of smart agriculture. International Journal of Crowd Science, 2017, 1(3): 237-248. https://doi.org/10.1108/IJCS-08-2017-0017

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Received: 16 August 2017
Revised: 31 August 2017
Accepted: 04 September 2017
Published: 04 September 2017
© The author(s)

Xiang Gu, Yueting Chai, Yi Liu, Jianping Shen, Yadong Huang and Yixuan Nan. Published in International Journal of Crowd Science. Published by Emerald Publishing Limited. This article is published under the Creative Commons Attribution (CC BY 4.0) licence. Anyone may reproduce, distribute, translate and create derivative works of this article (for both commercial and non-commercial purposes), subject to full attribution to the original publication and authors. The full terms of this licence may be seen at http://creativecommons.org/licences/by/4.0/legalcode