Plant Image Analysis Plant Image Analysis

Stalk Analyzer

Spalding Lab @ University of Wisconsin
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Scientific article

Image analysis of anatomical traits in stalk transections of maize and other grasses
Sven Heckwolf, Marlies Heckwolf, Shawn M Kaeppler, Natalia de Leon and Edgar P Spalding
2015, Plant Methods

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To meet the need for large-scale measurements of stalk anatomy features, we developed custom image processing software that utilized a variety of global thresholding, local filtering, and feature detection methods to measure rind thickness, pith area, vascular bundle counts, and individual vascular bundle size from digital images of hand-cut transections of stalks collected with a flatbed document scanner. The tool determined vascular bundle number with an average accuracy of 90% across maize genotypes that varied five-fold for this trait. The method is demonstrated on maize, sorghum, and Miscanthus stalks.

Source: Plan Methods

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Operating system
mac, windows, matlab, linux,

open-source, freeware,

Measured variables
count, diameter,

Automation level
semi-automated, automated,

Plant requirements

Image requirements
tif, bmp, gif,

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