摘要
调查了国内外在机械式、光电式和基于机器视觉技术的红枣自动分级研究现状,并着重对机械式和基于机器视觉技术自动分级技术报道进行分析。结果表明,机械式在短期未来仍是研究热点之一,光电式未来发展空间不大,而机器视觉作为未来的发展方向,将重点解决在保证生产率和分级精确度的情况下完成红枣全表面在线实时检测和多指标综合自动分级的问题。
The research status of Ziziphus jujuba automatic grading technology at home and abroad by the type of mechanical, photoelectric and machine vision were investigated, and focus on the mechanical and automatic classification based on machine vision technology for analysis. The results showed that the mechanical type is still one of the research focus in the short term future, but not much room for future development of photoelectric, meanwhile, machine vision as the future direction of development will focus on completing online real-time detection of the entire surface and all multi-index comprehensive automatic classification problems in guarantee of productivity and classification accuracy.
出处
《安徽农业科学》
CAS
北大核心
2011年第36期22864-22867,共4页
Journal of Anhui Agricultural Sciences
基金
石河子大学重大科技攻关项目(gxjs-zdgg06-04)
关键词
红枣
自动分级
机械式
光电式
机器视觉
Ziziphus jujuba
Automatic grading
Mechanical type
Photoelectric type
Machine vision