摘要
以物联网、大数据应用为代表的信息技术在新型农业中得到广泛应用,促进了农业生产方式的转变。利用传感器技术收集农业信息,准确捕捉各种环境参数,对日光温室蔬菜生产系统进行智能化管理,建立不同的统一建模语言(UML)模型,帮助生产者及时检测蔬菜生长环境,为蔬菜生长发育提供良好的条件,有较大的研究价值和应用前景。本文针对日光温室蔬菜系统进行UML建模,利用蔬菜系统的抽象规则对系统进行检测,能准确识别蔬菜系统中存在的不一致问题,具有较高的检测效率,以期使建模系统更加高效、便捷,提高蔬菜生产效率。
Information technology,represented by the Internet of things and big data applications,has been widely used in new agriculture,promoting the transformation of agricultural production mode.Using sensor technology to collect agricultural information,accurately capture various environmental parameters and intelligently manage the vegetable production system in solar greenhouse.Establishing different unified modeling language(UML)models can help producers detect vegetable growth environment in time,and provide good conditions for vegetable growth and development,which has great research value and application prospect.In order to make the modeling system more efficient and convenient,and improve the efficiency of vegetable production,this paper studies the key problems of UML modeling and model detection of greenhouse vegetable system.This paper carried out UML modeling for the vegetable system in the solar greenhouse,and used the abstract rules of the vegetable system to detect the system,which could accurately identify the inconsistencies in the vegetable system and had a high detection efficiency.In-depth research of UML modeling and model testing could make the modeling system more efficient and convenient,and improve the efficiency of vegetable production.
作者
王勇
姜懿芮
徐志颖
姜俊
WANG Yong;JIANG Yi-rui;XU Zhi-ying;JIANG Jun(Horticulture Institute of Zhumadian Institute of Agricultural Sciences,Zhumadian 463000,China;Institute of Information Engineering,Zhengzhou University,Zhengzhou 450002,China;International College,Zhengzhou University,Zhengzhou 450002,China)
出处
《中国果菜》
2020年第12期75-78,共4页
China Fruit & Vegetable
基金
国家大宗蔬菜产业技术体系项目(CARS-23-G18)
河南省科技攻关项目(172102110146)
河南省大宗蔬菜产业技术体系项目(Z2010-03-06)
河南省创新型科技团队项目(C20150054)。
