【摘要】 【目的】研发玉米农艺性状数据采集与管理系统,实现玉米农艺性状数据快速采集、高效管理与自动分析,也为其他粮食作物及经济作物的农艺性状数据采集与管理提供参考。【方法】采用B/S与C/S混合开发架构,构建玉米农艺性状数据采集系统(APP)和玉米农艺性状数据管理系统(Web),APP采用Android技术实现Web api与服务器间的通信,Web采用Entity Framework技术对数据库进行操作,为海量农艺性状采集数据集成管理提供一个高效、安全和稳定的平台。【结果】经河南省863软件孵化器有限公司测试结果表明,构建的玉米农艺性状数据采集与管理系统在功能性测试、可靠性测试和易用性测试等方面均达到设计要求,系统性能测试稳定。客户端APP主要以农艺性状数据的实时采集为核心,实现玉米试验材料的快速录入、查询和定位,极大地提高数据采集效率。客户端APP数据上传至服务端Web,实现了玉米生产过程多点试验任务的实时分发、农艺性状数据的查询与管理、报表中心的生成及数据统计分析等功能,为科学决策和管理提供数据支撑。自2016年以来,玉米农艺性状数据采集与管理系统经过功能完善及版本的不断升级,已在河南省一些科研机构和高等院所进行示范应用,河南省农业科学院现代农业科技试验示范基地原阳玉米区试试验应用结果表明该系统运行稳定。【建议】今后研究中应扩展作物研究种类,在进行农艺性状数据采集与管理时,重点将图像管理模块和集成无人机遥感平台纳入到玉米农艺性状数据采集与管理系统中。更多还原

【Abstract】 【Objective】A data acquisition and management system of agronomic trait for maize was constructed to achieve rapid collection,efficient management and automatic analysis of agronomic trait data for maize. It could provide reference for collection and management of agronomic traits from other grain crops or cash crops.【Method】Using B/S and C/S hybrid development architecture,which built an agronomic traits of data acquisition system(APP)and maize agronomic traits data management system(Web)for maize,the APP adopted the Android technology to realize the communication between Web api and server,Web adopted entity framework technology to operate on a database,it provided an efficient,safe and stable platform for integrated management of massive agronomic traits acquisition data.【Result】The test results of Henan 863 software incubator limited companyshowed that the system met the design requirements in functional test,reliability test and usability test,and the system performance test was stable. The APP of the client mainly focused on the real-time acquisition of agronomic traits data,whichhave been realized the fast input,query and positioning of maize test materials,it greatly improved the efficiency of data acquisition. The client APP data was uploaded to the server Web,it have been realized the real-time assignment of multi-point test task,data query and managementof agronomic traits data,report center generation,statistical analysis of data and other functions in maize production process,it provided data support for scientific decision-making and management. Since 2016,the system has been upgraded with improved functions and versions,which has been widely applied in scientific research institutions,higher teaching institutions in Henan. The application results indicated that the system has been run stably in Yuanyang maizeregional trial,the modern agricultural science and technology experimental demonstration base in Henan Academy of Agricultural Sciences.【Suggestion】In the future,the research should expand the variety of crop research,and focus on integrate image management module and integrated unmanned aerial vehicle remote sensing platform into the data acquisition and management system of agronomic trait.更多还原