基于物联网视觉的自动农业植物病斑远程识别  

Automatic Agricultural Plant Disease Spot Remote Recognition Based on the Content of the Vision of Networking

作　　者：刘宝静[1] 

机构地区：[1]石家庄铁道大学四方学院,石家庄050228

出　　处：《科技通报》2013年第4期85-87,共3页Bulletin of Science and Technology

摘　　要：当前的农业机器的智能化控制中,控制区域较小,在大区域的植物病斑识别过程中,存在着识别不同步、病斑区域难以界定,病斑区域定位不精准,很难形成智能远程控制。为了解决这一问题,提出一种基于物联网视觉的农业机器自动农作物病斑识别系统设计方法,通过计算机视觉技术采集不同区域的植物图像,对植物病斑情况进行有效地识别,通过物联网技术,克服往常植物病虫害的远程报警,传统智能识别方法中不能对区域进行计算机远程智能控制的缺陷。实验证明,基于计算机视觉与物联网相结合的方法能够大幅节约控制灌溉成本,精确度较高。In view of the current agricultural machine of the intelligent control,the control area small,in the large area of the plant disease spot identification process,there is recognition not synchronous,disease spot area is difficult to define and disease spot area not accurate,it hard to form intelligent remote control.In order to solve this problem is proposed based on a network of agricultural machine vision thing automatic crops disease spot recognition system design method,through the computer vision technology acquisition in different areas of the plant image of the plant disease spot situation for effective recognition,through the content networking technology,make the usual of plant diseases and remote alarm,overcome traditional intelligent identification method can＇t region remote computer intelligent control defects.The experiment proved that based on computer vision and content networking method of combining the would greatly saving cost,the accuracy is high.

关 键 词：物联网 植物病斑 远程控制 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]