Tobacco agriculture has improved the production efficiency of tobacco leaves,the quality of cured tobacco and farmers'income through the implementation of facility agriculture and full-process mechanization.However,it still faces efficiency problems in tobacco field management caused by non-linearity,interactivity,and multi-scale challenges.We applied digital twin theory and technology to a tobacco field management system in the Kunming area.A multi-element Internet of Things(IoT)data collection device was designed,combined with un-manned aerial vehicle oblique photography technology,to establish a digital twin model of the tobacco field.This model created a virtual control over the reality through online reasoning and feedback systems,with a practical application in tobacco nitrogen management.This resulted in da-ta-driven tobacco field farm management.The results showed that digital twin technology could significantly improve the management efficiency of tobacco agriculture,with nitrogen management efficiency increased by 71%.Digital twin technology had broad application potential in the en-tire process of tobacco field management,providing a reference for the digital transformation of tobacco agriculture.
Digital TwinTobacco field managementVirtual modelingTilt photographyNitrogen element management
国家科技期刊平台
NSTL
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