01730naa a2200181 a 450000100080000000500110000800800410001910000180006024501240007826000090020230000120021152011390022365300310136265300280139365300170142170000200143877300900145821355092022-06-09       2021    bl uuuu     u00u1 u    #d1 aBOTEGA, L. C.  aIntegrating sensors and virtual reality for volumetric CT analyses of agricultural soil samples.h[electronic resource]  c2021  a322-332  aMulti-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.  aAgricultural soil porosity  aVirtual reality sensors  aX-ray sensor1 aCRUVINEL, P. E.  tInternational Journal on Advances in Systems and Measurementsgv. 13, n. 3 e 4, 2020.