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http://dx.doi.org/10.5389/KSAE.2021.63.2.061

Design of the Business Model to Reduce the Damage of Heavy Snowfall in Greenhouse  

Lee, Jonghyuk (Department of Rural Systems Engineering, Global Smart Farm Convergence Major, Seoul National University)
Lee, Sangik (Department of Rural Systems Engineering, Global Smart Farm Convergence Major, Seoul National University)
Jeong, Yongjoon (Department of Rural Systems Engineering, Global Smart Farm Convergence Major, Seoul National University)
Kim, Dongsu (Department of Rural Systems Engineering, Seoul National University)
Lee, Seung-jae (National Center for Agro-Meteorology)
Choi, Won (Department of Rural Systems Engineering, Research Institute of Agriculture and Life Sciences, Global Smart Farm Convergence Major, Seoul National University)
Publication Information
Journal of The Korean Society of Agricultural Engineers / v.63, no.2, 2021 , pp. 61-74 More about this Journal
Abstract
Agriculture is most closely related to weather, and the government pursues stable food production by weather research. However, abnormal weather conditions have occurred frequently around the world in recent years, and stable food production has been threatened. Among them, heavy snow in winter tends to increase in frequency and size, which causes serious damage to greenhouses. Therefore, it is imperative to build a system reflecting various demands to reduce the damage to agricultural facilities caused by heavy snow. A business model can realize this as a way of commercialization, however, no suitable model has been presented to date. Therefore, this study aims to design a representative business model that can establish a safety system by distributing a greenhouse disaster prevention warning system for heavy snow to farms.
Keywords
Single-span greenhouse; heavy snowfall; business model; forecast and warning system;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
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