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ThinkMind // International Journal On Advances in Systems and Measurements, volume 13, numbers 3 and 4, 2020 // View article sysmea_v13_n34_2020_12


Integrating Sensors and Virtual Reality for Volumetric CT Analyses of Agricultural Soil Samples

Authors:
Leonardo Botega
Paulo Cruvinel

Keywords: X-ray sensors; virtual reality sensors; digital image processing; X-ray tomography; agricultural soil porosity; decision-making process

Abstract:
Multi-modal sensing techniques and data fusion from sensors can offer new possibilities for providing agricultural soil analysis in a robust manner. In this paper we report the results of integrating X-ray Tomography (CT), a non-invasive sensing technology, within a Virtual Reality (VR) environment for agricultural soils analyses. In such a context, through a user interface, sensors, and a volumetric visualization of tomographic images a set of agricultural soils samples has been submitted for porosity analyses. The use of graphic computational resources allowed the addition of functionalities, like volumetric visualization and immersion. For validation, it has been used a case study, involving analysis of porosity of agricultural soils samples. In fact, using energy of 59.6 keV and time window equal to 10 seconds for sampling of each tomographic projection it has been possible to reconstruct digital tomographic images from agricultural soils to be analyzed in such a system. Results indicate both the preferential paths for the water flow and a new way for evaluation of the physical properties of an agricultural soil.

Pages: 322 to 332

Copyright: Copyright (c) to authors, 2020. Used with permission.

Publication date: December 30, 2020

Published in: journal

ISSN: 1942-261x

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