摘要
为提高我国农业抗病虫害的整体水平,精准研究农作物生长环境对虫害数目变化趋势的影响尤为重要。基于物联网的农业虫害智能监控系统研发了一套自动采集农田环境信息、害虫数目,并且可以进行设备参数设置的系统。采用K-means聚类算法从拍摄图片背景中提取稻飞虱和最小二乘法椭圆拟合,用椭圆率区分虫体和杂质统计稻飞虱数目。同时,详细介绍了系统的硬件组成和软件设计功能模块,实现了虫害等信息的自动采集和自动化运作,为有效防控病虫害奠定基础。
In order to improve the overall level of China＆#39;s agricultural pest resistance , precise research of how crop growth environment affects the number of plant pest trends is particularly important .Intelligent monitoring system for Ag-ricultural Pests Based on Internet of Things （ IoT） develops a set of automatic data collection system of farml-and environ-ment information , the number of pests , and it can also set the equipment parameters .Artificial taking pictures of plan-thopper, this system uses k-means clustering algorithm to separate the planthopper from the backgr -ound ,uses an el-lipse fitting based on least square method to get the ellipticity ,which is used to distinguish between insect body and im-purities and add up the pests number .Hardware composition of the system and software design of function modules are in-troduced in detail , which realizes automatic information collection and automated operation and lays the foundation of ef -fective prevention and control of pest .
出处
《农机化研究》
北大核心
2015年第5期229-234,共6页
Journal of Agricultural Mechanization Research
基金
"十二五"国家科技支撑计划项目(2012BAD35B06)
