ACA
University of Tubingen
Overview
| Measured variables | color |
|---|---|
| Operating system | windows, mac, linux |
| Licence | freeware |
| Automation level | semi-automated |
| Plant requirements | rosette |
| Export formats | excell |
| Other information |
Scientific article(s)
Similar tools
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Description
ACA is based on grouping of each pixel of a picture depending on its position in the hue saturation value (HSV) colour-space. Leaves were individually separated in single images using a semi-automatically ImageJ macro. Each pixel inside a leaf was then clustered into one of the following categories: green, green-yellow, yellow, brown, purple or unknown, using a R-script. ACA can be used in a non-invasive manner at the whole-rosette level, or in detached leaves. Non-invasive application on whole-rosettes also allows pre-screening of many plant lines before starting with detailed phenotyping of selected lines, or even the use of automated phenotyping platforms.