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.
Highlights
1.1 Problems to be solved In the process of farming and animal husbandry production, management, business and electronic commerce, the relationship between enterprise mainly appears as vertical
The controller layer is mainly used for undertaking a series of functions in production management and supply–demand matching, including the supply–demand matching based on Material conscious and information network (MCIN) addressing method, intelligent production management and intelligent trading methods
Formulate supply–demand matching rules and quality-tiered pricing standards in the controller layer and through the addressing method of supply–demand matching between the MCIN-ASA participant nodes provided by MCIN
Summary
1.1 Problems to be solved In the process of farming and animal husbandry production, management, business and electronic commerce, the relationship between enterprise mainly appears as vertical. With MCIN model, we can map the commodities, individuals and enterprise in physical world to mirror images under the network space, and complete the ternary blend of material conscious and information, participants can undertake social contact and trading. The controller layer is mainly used for undertaking a series of functions in production management and supply–demand matching, including the supply–demand matching based on MCIN addressing method, intelligent production management and intelligent trading methods. Formulate supply–demand matching rules and quality-tiered pricing standards in the controller layer and through the addressing method of supply–demand matching between the MCIN-ASA participant nodes provided by MCIN. Cooperated with the user interface which can be called personalized portals, we complete the operation of the whole architecture
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