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作 者:赵庆展[1,2,3] 靳光才[1,2,3] 周文杰[1,2,3] 汪传建[1,2,3] 戴建国[1,2,3]
机构地区:[1]石河子大学信息科学与技术学院,石河子832000 [2]兵团空间信息工程技术研究中心,石河子832000 [3]兵团空间信息工程实验室,石河子832000
出 处:《农业工程学报》2015年第4期183-190,共8页Transactions of the Chinese Society of Agricultural Engineering
基 金:国家自然科学基金(31260291;31460317);兵团科技支疆专项(2014AB001)
摘 要:为了减少棉田病虫害对棉花造成的损失,对其进行防控是种植过程中的重要环节,及时有效地采集病虫害信息是对其监测、预测的前提和基础。传统模式下通过人工填写纸质表格采集数据,时空差异性大、统计繁琐、耗时耗力。该文基于移动GIS,以当前主流的Android/IOS手机操作系统为平台,运用GPS定位、离线地图加载、图形绘制等技术实现了病虫害发生位置及属性信息的快速采集,位置精度可达15 m。通过采用定义JSON模板,实现了异构平台数据的一致性,并通过无线网络发送信息至服务端的时空数据库,从而实现了空间数据与属性数据的聚合存储,数据从发送至入库可在5 s内完成。服务端运用空间插值对数据进行分析、处理及可视化表达,并将结果推送给移动终端用户,从而提供病虫害监测、预测服务,准确度可达70%以上。初步应用表明,该系统具有用户参与度好、实时性强、位置精确、经济便捷等特点,为农作物病虫害信息采集及农情监测提供参考。In order to reduce the losses caused by cotton pests and diseases, the prevention and control of cotton pests and diseases has become an important link in the process of cotton planting. Therefore, a timely and effective collection of information about cotton pests and diseases naturally becomes the premise and basis of monitoring and further forecasting. However, traditional way of collecting data by filling in paper manually presents several defects, such as the error caused in space and time, the cumbersome statistics and its time-consuming characteristic. Moreover,temporal resolution and spatial resolution of remote sensing monitoring can hardly reach the standard of monitoring, and the inversion model usually fails in achieving the ideal monitoring effect in terms of different cotton varieties and different growth stages. In comparison, information collection based on Mobile GIS has such advantages as its portability, public participation, instantaneity and accuracy in space and time. Focusing on the process of data collection, transmission, storage, analysis and service provision of cotton pests and diseases, this paper proposes a business solution of cotton pests and diseases information service based on Mobile GIS. The method tries to combine GPS positioning with off-line map loading in the mobile terminals to help acquire the precise location data. Users can mark the location where cotton pests and diseases occur by plotting points or polygon graphics on the map, the deviation of which is within 15 meters. Through the development of Android/IOS mobile terminal, collection time and grade of cotton pests and diseases are offered, which thus help gather the attribute information. By defining JSON data collection module, the unity of different platforms' data collection is achieved. And through network, the data are further sent to the spatial-temporal database in the service terminal. Since the database of this system is Oracle Spatial database, when the server side receives data, the system automatically
关 键 词:病害 智能系统 地理信息系统 信息采集 时空数据库
分 类 号:TP274[自动化与计算机技术—检测技术与自动化装置]
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