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Registro Completo |
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Biblioteca(s): |
Embrapa Instrumentação. |
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Data corrente: |
22/10/2021 |
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Data da última atualização: |
09/06/2022 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
BOTEGA, L. C.; CRUVINEL, P. E. |
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Afiliação: |
PAULO ESTEVAO CRUVINEL, CNPDIA. |
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Título: |
Integrating sensors and virtual reality for volumetric CT analyses of agricultural soil samples. |
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Ano de publicação: |
2021 |
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Fonte/Imprenta: |
International Journal on Advances in Systems and Measurements, v. 13, n. 3 e 4, 2020. |
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Páginas: |
322-332 |
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Idioma: |
Inglês |
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Conteúdo: |
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. |
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Palavras-Chave: |
Agricultural soil porosity; Virtual reality sensors; X-ray sensor. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 01730naa a2200181 a 4500
001 2135509
005 2022-06-09
008 2021 bl uuuu u00u1 u #d
100 1 $aBOTEGA, L. C.
245 $aIntegrating sensors and virtual reality for volumetric CT analyses of agricultural soil samples.$h[electronic resource]
260 $c2021
300 $a322-332
520 $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.
653 $aAgricultural soil porosity
653 $aVirtual reality sensors
653 $aX-ray sensor
700 1 $aCRUVINEL, P. E.
773 $tInternational Journal on Advances in Systems and Measurements$gv. 13, n. 3 e 4, 2020.
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Registro original: |
Embrapa Instrumentação (CNPDIA) |
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