Plant Image Analysis Plant Image Analysis

DIRT

Georgia Tech and PennState University


6 votes for an average of 5/5
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Scientific article
Image-based high-throughput field phenotyping of crop roots.
A. Bucksch, J. Burridge, LM. York, A. Das, E. Nord, JS. Weitz, JP. Lynch,
2014 , Plant Physiol. , 0(0), 0
View at publisher | Download PDF


Description

Digital imaging of root traits (DIRT) is an automatic high throughput software to calculate phenotypic traits of monocot and dicot roots from digital photographs. DIRT extends and automates the extraction of phenotypic traits by utilizing high-performance grid computing environments at Georgia Tech. The obtained measurements are inspired by the Shovelomics field protocol used in many field experiments. Overall, DIRT derives over 30 phenotypic traits for monocot and dicot roots or excised root samples. DIRT is accessible online via an web application. DIRT is currently at a beta test stage, which means the computation is only accessible within the Georgia Tech network until security and policy issues are solved.

The source code is available as a supplemental material of the Plant Physiology article.


Source: DIRT website

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Overview
Operating system
windows, mac, linux,

Licence
open-source, freeware,

Measured variables
length, shape, diameter,

Automation level
automated,

Plant requirements
any,

Image requirements
any,

Export formats
csv,

Other information
Online interface