디지털 트윈 기술을 이용한 스마트팜 프레임워크 시각화 기술 개발에 관한 연구

The smart farm framework is a technology for managing overall crops and delivers growth information and environmentalinformation to users intuitively through charts and graphs. and users remotely control the control environment based on thedelivered information. However, there are situations such as external factors (crops' own diseases, pests, etc.) that are difficult torecord, and these factors are important topics to be solved in the development of smart farm frameworks. In this study, basicvisualization technology and digital twin models are produced based on crop growth information, environmental information, andimage data. The digital twin model is intended to provide a twin model that changes according to the data change when variousinformation about the crop changes, and to increase visualization efficiency by providing various visualization techniques together.
For the experiment, paprika was set as a representative experimental crop and digital twin modeling was conducted. Since then,the digital twin model provides a change in the digital twin model that varies according to the actual growth information andenvironmental information of the crop, and proposes ways to incorporate various visualization technologies into the model.