摘要
根系的表型测量工作作为考察农作物表型性状和育种水平的首要环节,一直依赖手工标记测量或者采用高精度CT仪器进行检测。手工测量和记录易出错且效率低,而CT仪器价格高昂、结构复杂,工作环境苛刻,不便于普通科研机构的日常使用。为了解决根系表型的测量问题,采用了图像处理技术,结合自动化物流系统,针对作物根系表型测量设计和制作了一种水培作物根系表型高通量自动分析平台。该分析平台可实现对作物植株全自动化的运输、可见光成像、图像存储和分析等操作。使用自动化物流和成像分析系统降低了测量人员的工作强度,且可见光成像成本低廉,对植物和工作人员无辐射伤害,利于在普通科研机构中推广和使用。
Root phenotypic measurements,as the primary link to examine crop phenotypic traits and breeding levels,have been dependent on manual marking or high precision CT machines.Manual measurement and recording are error prone and low in efficiency. CT machines are expensive,structurally complex,unsafe,inefficient,and demanding on the working environment,which is not easy for daily use by ordinary research institutions.To solve the above problems,this paper describes an analyzer that combines image processing and automation techniques for high throughput crop roots phenotypic measurement. The analyzer can be used to automate the transportation,visible light imaging,image storage and analysis of plant root system. The high efficiency of automatic logistics system,the low cost of visible light imaging,and no radiation damage to plantsand workers,is beneficial to the popularization and use of the analyzer.
出处
《机电一体化》
2018年第8期34-39,共6页
Mechatronics
基金
上海市科委科研计划项目(16391903102)
农业部华南都市农业重点实验室开放基金(009)资助
关键词
根系表型
高通量
可见光成像
图像处理
root phenotype
high-throughput
visible light imaging
image processing
