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作 者:李英伦 陈桂芬[1] 王冬雪[1] LI Yinglun;CHEN Guifen;WANG Dongxue(College of Information Technology,Jilin Agricultural University,Changchun 130118,China)
出 处:《吉林农业大学学报》2021年第2期213-217,共5页Journal of Jilin Agricultural University
基 金:国家“863”项目(2006AA10A309);国家星火计划项目(2015GA660004);吉林省重点科技研发项目(20180201073SF)。
摘 要:针对农田监测数据分析与三维可视化及可视化效果优化的需求,文中以国家"863"项目"玉米作物精准作业系统研制与应用"示范基地——吉林省农安县合隆镇陈家店村为试验区域,进行玉米精准作业区农田监测数据分析与三维可视化研究。首先,2015—2017年连续3年对玉米精准作业区试验田中土壤水分含量数据进行动态监测与采集,利用统计分析技术对该区域内的土壤4层水分含量数据做出线性分析;然后运用ArcGIS软件对试验田地块的土壤水分含量数据进行三维可视化研究;最后将辅助插件集成到ArcGIS软件中,优化试验田地块土壤水分含量数据三维可视化效果。结果表明:对玉米精准作业区农田环境进行动态监测的信息可用于分析农田的墒情变化规律;其数据经过分析处理后进行三维可视化是可行的,相比于常规的二维专题图表达,经过辅助插件优化后的农田监测数据三维可视化效果图展示的数据更直观、更自然、更清晰,对促进玉米精准作业的实施具有重大意义。With the increasingly diversified development of farmland monitoring data, a more intuitive 3 D visualization of farmland monitoring data has become a hot topic in the research of agricultural information technology. In view of the demand for the analysis of farmland monitoring data, and the optimization of 3 D visualization and the optimization of its effect, a demonstration base of the "863" project "the development and application of precision operation system for maize crops"-the experimental area of Chenjiadian village, Helong town, Nongan county, Jilin province, was taken as the experimental area. The dynamic monitoring and collection of soil water content data in maize precision operation area for three consecutive years from 2015 to 2017 were carried out, and the linear analysis of soil water content data of four layers in the area was made by using statistical analysis technology. Then, ArcGIS software was used to study the 3 D visualization of soil water content data of the experimental plots. Finally, the auxiliary plug-in was integrated into ArcGIS software to optimize the 3 D visualization effect of soil water content data in the experimental field. The results show that the information of the dynamic monitoring of the farmland environment in the precision operation area of maize can be used to analyze soil moisture change law of the farmland. 3 D visualization of the analyzed and processed data is feasible, and compared with the conventional 2 D thematic map expression, the 3 D visualization effect map of the farmland monitoring data optimized by the auxiliary plug-in is more intuitive, natural and clearer, which is of great significance to promote the implementation of precision operation of maize.
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