摘要
为实现对农作物虫害的实时预警并辅助疾病诊断,实现无人值守的病虫害智能监控,设计一种嵌入式设备与工控机相结合的农作物虫害监测系统。通过下位机ARM-Linux嵌入式图像终端采集农作物叶片图像,利用TCP/IP网络发送数据;上位机监测系统利用虚拟仪器接收并解析图像,完成图像格式转换、虫害诊断与实时显示。针对传统基于Web技术的图像监控系统只能通过浏览器或专用客户端软件浏览图像,而不能处理数据的缺点,设计网络ppm格式图像数据至LabVIEW图像数据的转换函数,实现农作物叶片图像的自动采集、显示与图像处理功能。测试结果表明,该系统工作稳定,在农业病虫害的图像采集与诊断防治方面具有重要的应用价值。
In order to diagnose crop pests and diseases in real time and realize unmanned intelligent monitoring of pests and diseases,a monitoring system of crop pests based on embedded equipment and industrial computer is designed.The ARM-Linux embedded image acquisition terminal collects the crop leaf images and sends data to the host computer through a TCP/IP network.The upper computer receives and parses the images.At the same time,under the support of virtual instrument software,the image ure processed to complete the format conversion,preservation and display.The monitoring system has provided an applicable approach to access the image data on the Web through the transformation of ppm image to LabVIEW image,which are available for browse only by the internet explorer or the special clients in most cases.The experimental results have shown its effectiveness and stability.The system is expected to be of great application value for the diagnosis of various agricultural diseases and pests image acquisition.
作者
张新良
夏亚飞
夏楠
冷正明
ZHANG Xin-liang;XIA Ya-fei;XIA Nan;LENG Zheng-ming(School of Electrical Engineering and Automation,Henan Polytechnic University,Jiaozuo 454000,China;Anyang Iron & Steel INC,Anyang 455000,China)
出处
《软件导刊》
2018年第7期124-127,共4页
Software Guide
基金
国家自然科学基金项目(U1404612)
河南省创新型科技人才队伍建设工程项目(CXTD2016054)
河南理工大学教改研究项目(2016YAL02
2017JG026)
关键词
农作物
虫害监测
嵌入式
虚拟仪器
图像处理
crops
pests monitoring
embedded
virtual instrument
image processing