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Crop Science Abstract - TURFGRASS SCIENCE

Batch Analysis of Digital Images to Evaluate Turfgrass Characteristics


This article in CS

  1. Vol. 45 No. 4, p. 1536-1539
    Received: Sept 21, 2004

    * Corresponding author(s): karcher@uark.edu
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  1. Douglas E. Karcher * and
  2. Michael D. Richardson
  1. Dep. of Horticulture, Univ. of Arkansas, 316 Plant Sciences Bldg., Fayetteville, AR 72701


Techniques using digital image analysis have been recently developed to evaluate turfgrass stands for percent green cover and average color. Manually analyzing digital images may become cumbersome and tedious if turf field trials contain many plots or if images are collected at frequent intervals for analysis. The objective of the following work was to develop a user-friendly macro capable of automated batch analysis of an unlimited number of digital images. A macro named “Turf Analysis” was written to batch analyze images using SigmaScan Pro software. The macro, which requires less than 1 min of manual execution, performs percent cover and/or color analysis on an unlimited number of images and automatically saves the results into a spreadsheet file. The macro is freely available to download.

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Copyright © 2005. Crop Science Society of AmericaCrop Science Society of America