[1]郑继亭,李 珺.基于WMSNs 的温室植物病害远程监测系统[J].计算机技术与发展,2018,28(01):174-77.[doi:10.3969/ j. issn.1673-629X.2018.01.037]
　ZHENG Ji-ting,LI Jun.Remote Monitoring System for Greenhouse Plant Disease Based on WMSNs[J].Computer Technology and Development,2018,28(01):174-77.[doi:10.3969/ j. issn.1673-629X.2018.01.037]
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基于WMSNs 的温室植物病害远程监测系统()

《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
28
期数:
2018年01期
页码:
174-77
栏目:
应用开发研究
出版日期:
2018-01-10

文章信息/Info

Title:
Remote Monitoring System for Greenhouse Plant Disease Based on WMSNs
文章编号:
1673-629X(2018)01-0174-04
作者:
郑继亭1; 2 ; 李 珺1
1. 长安大学 信息与网络管理处,陕西 西安 710064;
2. 长安大学 信息工程学院,陕西 西安 710064
Author(s):
ZHENG Ji-ting1; 2 ; LI Jun1
1. Department of Information and Network Management,Chang’an University,Xi’an 710064,China;
2. School of Information Engineering,Chang’an University,Xi’an 710064,China
关键词:
无线多媒体传感器网络; 植物病害; 远程监测; 组态软件; 图像分割算法; 线性判别分析
Keywords:
wireless multimedia sensor networks; plant diseases; remote monitoring; configuration software; image segmentation algorithm; linear discriminant analysis
分类号:
TN99
DOI:
10.3969/ j. issn.1673-629X.2018.01.037
文献标志码:
A
摘要:
通过表面症状来判断植物染病的原因和确定其受害程度是目前植物病害诊断的常用手段。 传统温室植物病害检测主要通过工作人员以现场查看的方式进行,存在效率低、检测不全面等不足。 随着图像处理理论的发展,基于计算机视觉的植物病害自动检测识别技术成为目前的研究热点。 针对温室作物病害自动检测的实际需求,设计开发了一种基于WMSNs 的温室植物病害远程监测系统。 首先运用无线多媒体传感器网络技术实现温室图像数据的采集和传输;然后运用模式识别技术实现温室作物病害检测;最后利用组态软件对系统的监控界面和病害检测界面进行组态,实现监测系统可视化。 实验结果表明,构建的系统能够比较准确地识别病害作物,检测精确率达到 96%,具有很好的适用性。
Abstract:
It is a common method for plant diseases diagnosis to determine the cause of disease and the degree of injury based on plant surface symptoms. Traditional greenhouse plant disease detection is mainly carried out by the staff in the field of view,with low efficiency and incomplete detection. With the development of image processing theory,the automatic detection and recognition of plant diseases based on computer vision has become a hot research topic. According to the needs of disease detection for greenhouse crop,a kind of remote monitoring system for greenhouse plant disease based on WMSNs is designed and implemented. Firstly,the system completes the acquisition and transmission of greenhouse image data based on wireless multimedia sensor network;then it realizes the detection of greenhouse crop diseases based on pattern recognition;finally,through configuration of the monitoring interface and disease detection interface based on configuration software,its visualization is achieved. The experiment shows that the system can accurately identify the disease crops with its accuracy rate by 96％ and good applicability.

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[1]张军 王小明 杨涛.一种非均匀分布环境下的WMSNs路由协议[J].计算机技术与发展,2010,(07):84.
　ZHANG Jun,WANG Xiao-ming,YANG Tao.Nonuniform Distribution Environments Routing Protocol for Wireless Multimedia Sensor Networks[J].Computer Technology and Development,2010,(01):84.
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更新日期/Last Update: 2018-03-13