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

H. Scharr, T. Pridmore, S. Tsaftaris
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引用次数: 17

Abstract

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.
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植物表型中的计算机视觉问题,CVPPP 2017: CVPPP 2017研讨会论文介绍
植物表型是鉴定基因型差异(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是费力的、昂贵的和耗时的。近年来,非侵入性、基于图像的方法变得越来越普遍。这些图像由一系列捕获设备记录,从小型嵌入式摄像系统到数百万欧元的智能温室,从细胞的微观图像到无人机成像捕获的整个领域。这些图像需要以高通量、鲁棒性和准确性的方式进行分析。
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