首页> 外文会议>IEEE International Conference on Computer Vision Workshops >Computer Vision Problems in Plant Phenotyping, CVPPP 2017: Introduction to the CVPPP 2017 Workshop Papers
【24h】

Computer Vision Problems in Plant Phenotyping, CVPPP 2017: Introduction to the CVPPP 2017 Workshop Papers

机译:植物表型分析中的计算机视觉问题,CVPPP 2017:CVPPP 2017研讨会论文简介

获取原文

摘要

Plant phenotyping is the identification of effects on the phenotype (i.e., the plant appearance and behavior) as a result of genotype differences (i.e., differences in the genetic code) and the environment. Previously, the process of taking phenotypic measurements has been laborious, costly, and time consuming. In recent years, non-invasive, image-based methods have become more common. These images are recorded by a range of capture devices from small embedded camera systems to multi-million Euro smart-greenhouses, at scales ranging from microscopic images of cells, to entire fields captured by UAV imaging. These images needs to be analyzed in a high throughput, robust, and accurate manner.
机译:植物表型鉴定是由于基因型差异(即遗传密码的差异)和环境对表型(即植物外观和行为)的影响。以前,进行表型测量的过程费力,昂贵且耗时。近年来,基于图像的非侵入性方法变得越来越普遍。这些图像由一系列捕获设备记录,从小型嵌入式摄像头系统到数百万欧元的智能温室,其范围从细胞的微观图像到无人机成像捕获的整个视野​​。这些图像需要以高吞吐量,鲁棒性和准确的方式进行分析。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号