FRACTAL CHARACTERIZATION OF WHEAT CROP BASED ON DIGITAL IMAGES CAPTURED IN THE VISIBLE SPECTRUM

Published in AgroLife Scientific Journal, Volume 3, Number 1
Written by Florin SALA, Marius BOLDEA, Iosif GERGEN

Fractal analysis was used as an instrument for the characterization of a winter wheat crop in different vegetation stages. The digital images captured in the visible spectrum were analyzed with the soft HarFA and ImageJ, and the data obtained facilitated the fractal characterization of the wheat crop. The fractal dimension (FD) varies in relation with the growth stages analyzed, between 1.896±0.019 - 1.931±0.017 (with HarFA) and 1.898±0.105 -1.933±0.064 (with ImageJ), with a correlation R2 = 0.983 - 0.999 for FD. The highest values of the fractal dimension were recorded in the stage of physiological maturity of plants. Particular values of the fractal parameters (fractal spectrum – FS, fractal dimension - FD) are specific for each vegetation stage and can represent stable elements for characterizing the wheat crop development.

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Sala F., Boldea M., Gergen I. 2014, FRACTAL CHARACTERIZATION OF WHEAT CROP BASED ON DIGITAL IMAGES CAPTURED IN THE VISIBLE SPECTRUM. AgroLife Scientific Journal, Volume 3, Number 1, ISSN 2285-5718, 133-138.


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