摘要
烟草农业已通过实施设施农业和全程机械化等手段来提升烟叶的生产效率、烘烤烟草的品质以及农民的收益,但在烟田管理上仍然面临由非线性、互馈性、多尺度等难题带来的效率低下问题。采用数字孪生理论和技术,以昆明地区的烟田管理系统为研究对象,设计多要素物联网数据采集装置,结合无人机倾斜摄影技术,建立一种以虚控实的数字化在线推理和反馈体系的烟田数字模型,以烟草氮元素管理为实践应用,实现了数据驱动的烟田农事管理。结果表明,数字孪生技术能显著提升烟草农业的管理效率,其中氮元素管理服务效率提升71%。数字孪生技术在烟田管理的全过程中都有广泛的应用潜力,为烟草农业的数字化转型提供应用参考。
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 unmanned 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 data-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 entire process of tobacco field management,providing a reference for the digital transformation of tobacco agriculture.
作者
詹莜国
李洪明
李伟
杨兴党
麻莉娜
吕明站
ZHAN You-guo;LI Hong-ming;LI Wei(Kunming Municipal Tobacco Company,Kunming,Yunnan 650051)
出处
《安徽农业科学》
CAS
2024年第12期222-227,共6页
Journal of Anhui Agricultural Sciences
基金
中国烟草总公司云南省公司科技项目(2020530000241029)。
关键词
数字孪生
烟田管理
虚拟模型
倾斜摄影
氮元素管理
Digital Twin
Tobacco field management
Virtual modeling
Tilt photography
Nitrogen element management
