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JBE, vol. 26, no. 4, pp.398-408, July, 2021


A Study on the Implementation of Digital Twin Architecture and Detailed Technology for Agriculture and Livestock Industry

Deuk-Young Jeong, Se-Han Kim, In-Bok Lee, Uk-Hyeon Yeo, Sang-Yeon Lee, Jun-Gyu Kim, and Se-Jun Park

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Since COVID-19, the world's food shortage population has more than doubled from 130 million to 270 million. In addition, as various issues related to the food industry such as climate change arise, the importance of agriculture and livestock is increasing. In particular, it is still difficult to utilize data generated in these field. Therefore, the objective of this study was to explain the limitations of using data based on fragmentary analysis and the necessity of Digital Twin. The additional objective was to propose an architecture and necessary technologies of a Digital Twin platform suitable for agricultural and livestock. It also proposed a Digital Twin-based service that could be used in the near future, such as labor reduction, productivity improvement, personalized consumption, transportation, and distribution by incorporating intelligent information convergence technology into facility horticulture and livestock farming.

Keyword: Digital Twin, Smart Farm, Federation, Architecture, Agriculture & Livestock

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