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Quantifying Turfgrass Cover Using Digital Image Analysis

M. D. Richardson*,a, D. E. Karchera and L. C. Purcellb

a Dep. of Horticulture, Univ. of Arkansas, Fayetteville, AR 72701
b Crop, Soil and Environmental Science Dep., Univ. of Arkansas, Fayetteville, AR 72701



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Fig. 1. Digital image analysis of calibration plots (A) and cover estimates (B). In each case, the scanned area of the digital image is displayed concurrently with the original photo. Percent cover estimates in (B) were determined by dividing the number of scanned pixels (green turf) on the right by the total number of pixels in the image.

 


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Fig. 2. Regression analysis of actual percent cover values against valued generated by digital image analysis. Variable cover rates were produced from a range of turfgrass plugs of a defined size and area.

 


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Fig. 3. Regression analysis of percent cover by digital image analysis versus either line-intersect analysis (top) or subjective analysis (bottom). The dotted line on each image represents a 1:1 relationship.

 





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The Plant Genome
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