摘要
随着计算机技术与电子技术以及我国农业现代化的快速发展,机器视觉技术在农业生产中得到越来越广泛的应用。基于对研究成果和文献的分析,归纳了机器视觉技术在农作物病害自动检测与识别中的关键问题,对国内外农作物病害自动检测与识别分别在图像采集、图像处理、图像分析等方面的主流方法进行了论述,指出了目前主流方法的优缺点。并在此基础上,对机器视觉在农作物病害自动检测中的应用进行了总结与展望。
With the rapid development of computer technology, electronic technology and agricultural moderni- zation in China, machine vision technology has been widely used in modern agricultural production. Based on the research results and literature analysis, this paper summarized the key problems of automatic detection and recognition of crop diseases by machine vision technology. The main methods used in image acquisition, image processing, and image analysis were discussed in this paper, the advantages and disadvantages of the current mainstream methods were pointed out. In the end, open problems and further research of machine vision technology in automatic detection of crop diseases were discussed.
作者
袁小昊
郭志波
YUAN Xiao - hao GUO Zhi - bo(College of Information Engineering, Yangzhou University, Yangzhou Jiangsu 225127, China)
出处
《淮阴工学院学报》
CAS
2017年第3期6-11,32,共7页
Journal of Huaiyin Institute of Technology
基金
江苏省前瞻性联合研究项目(BY2015061-01)
江苏省大学生创新创业项目(201611117048Y)
关键词
机器视觉
农作物病害
自动检测
machine vision
crop diseases
automatic detection