Fourier and Granulometry Methods on 3D Images of Soil Surfaces for Evaluating Soil   Aggregate Size Distribution

Thomas Jensen; Ole Green; Lars J. Munkholm; Henrik Karstoft

doi:10.13031/aea.32.10938

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Fourier and Granulometry Methods on 3D Images of Soil Surfaces for Evaluating Soil Aggregate Size Distribution

Published by the American Society of Agricultural and Biological Engineers, St. Joseph, Michigan www.asabe.org

Citation:  Applied Engineering in Agriculture. 32(5): 609-615. (doi: 10.13031/aea.32.10938) @2016
Authors:   Thomas Jensen, Ole Green, Lars J. Munkholm, Henrik Karstoft
Keywords:   Fourier transform, Granulometry, Image processing, Laser measurement system, Soil, Agricultural engineering

Abstract. The goal of this research is to present and compare two methods for evaluating soil aggregate size distribution based on high resolution 3D images of the soil surface. The methods for analyzing the images are discrete Fourier transform and granulometry. The results of these methods correlate with a measured weight distribution of the soil aggregates. The results have shown that it is possible to distinguish between the cultivated and the uncultivated soil surface. A sensor system suitable for capturing in-situ high resolution 3D images of the soil surface is also described. This sensor system is based on a SICK LMS111 laser range scanner.

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