摘要
为快速准确实现棉蚜虫害监测并向农技人员及农户提供预警防治信息,使用移动GIS技术对新疆生产建设兵团第七师一二五团研究区棉蚜虫害信息进行采集,采用反距离插值方法得到棉蚜虫害的空间分布,在此基础上对栅格数据进行重分类和矢量化处理,从而得到棉蚜虫害空间分布矢量图,利用基于位置的空间链接得到每个条田块的棉蚜虫害发生等级并将专题图进行发布,实现棉蚜虫害监测;棉蚜虫害预警则是在监测基础上,利用基于温湿系数的棉蚜发生等级预报模型推算棉蚜未来5 d内的发生情况,并将预测值与插值结果进行比较,标记各个条田块的棉蚜发生趋势,同时记录棉蚜发生等级大于经济阈值的条田块,然后利用Jpush推送技术向用户终端推送棉蚜发生趋势以及预警防治信息。研究区初步应用表明,用户可利用手机APP实时掌握棉蚜虫害的发生等级,全面了解棉蚜虫害的发展趋势,具有操作简便、高效便捷、实时性强等特点,可为棉蚜虫害的监测、预警提供参考。
In order to perform monitoring quickly and accurately for aphids in cotton and offer an early warning for technicians and farmers,the article using mobile GIS technology and spatial analysis technology designed and implemented monitoring and early-warning system for aphids in cotton based on IOS intelligent platforms,and then carried out tests in research area,which is the 125 th Regiment of the 7th Agricultural Division of Xinjiang Production and Construction Corps. The mobile GIS technology was appliedto take sample of aphids in cotton for monitoring. On this basis,the inverse distance interpolation analysis was used to obtain the spatial distribution raster data of aphids in cotton,and then re-classification and vectorization for GIS raster data in sequence were carried out to get the spatial distribution vector figure of aphids in cotton,so the occurrence rating of aphids in cotton of every stripe field was got by space connection technology based on spatial location,finally the thematic map of occurrence rating for aphids in cotton was published through the Arc GIS Server and it could be accessed by phone. The early warning was based on the current monitoring. The occurrence rating of aphids in cotton in the next five days was acquired through prediction model for occurrence rating of aphids in cotton based on temperature-humidity coefficient. The forecast occurrence ratings were compared with the result of inverse distance interpolation analysis,and at the same time the occurrence tendency of aphids in cotton for every strip field and the strip fields where the occurrence rating of aphids in cotton was greater than economic threshold were remarked.At last,the Jpush technology which can push notification to client was adopted,and the terminal users received the notification of the occurrence tendency and the early warning for aphids in cotton by phone.The result of preliminary application showed that the system allowed users to access the data through the internet at any time,and know comprehensively the occurrence tendency of aphids in cotton. The operation of the system is simple,efficient and convenient,and strong real-time is possessed by the system. It can offer supports for the monitoring and early warning for aphids in cotton.
出处
《河南农业科学》
CSCD
北大核心
2016年第9期163-168,共6页
Journal of Henan Agricultural Sciences
基金
国家自然科学基金项目(31260291
31460317)
新疆生产建设兵团科技援疆专项(2014AB001)
自治区科技支疆项目(201591105)
关键词
移动GIS
棉蚜
监测
预报
预警
mobile GIS
aphids in cotton
monitoring
forecast
early-warning