Application of X-ray computed tomography in soil and plant -a review
X-ray computed tomography (X-ray CT) is a non-destructive method of soil analysis which can provide three-dimensional (3D) view, quantitative information of the internal organization of the soil. In this paper, we discuss the potential application of X-ray CT in characterization of soil properties l...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2023-10-01
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| Series: | Frontiers in Environmental Science |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fenvs.2023.1216630/full |
| _version_ | 1797658737774690304 |
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| author | Tridiv Ghosh Pragati Pramanik Maity Sheikh M. F. Rabbi Sheikh M. F. Rabbi T. K. Das Ranjan Bhattacharyya |
| author_facet | Tridiv Ghosh Pragati Pramanik Maity Sheikh M. F. Rabbi Sheikh M. F. Rabbi T. K. Das Ranjan Bhattacharyya |
| author_sort | Tridiv Ghosh |
| collection | DOAJ |
| description | X-ray computed tomography (X-ray CT) is a non-destructive method of soil analysis which can provide three-dimensional (3D) view, quantitative information of the internal organization of the soil. In this paper, we discuss the potential application of X-ray CT in characterization of soil properties like porosity and pore size distribution (PSD), root architecture, soil phase classification, water and solute transport in soil, and highlight the research during last 10–15 years. Here, we review the recent development of X-ray CT in soil science, use of artificial intelligence and machine learning in image analysis, point out the major challenges associated with its use, discuss few improvements to overcome these difficulties and elaborate the possible future technological developments for non-invasive/destructive soil characterization by integrating X-ray CT with recently available complementary techniques. |
| first_indexed | 2024-03-11T18:04:35Z |
| format | Article |
| id | doaj.art-e353107a248848d2aafc37967d761b44 |
| institution | Directory Open Access Journal |
| issn | 2296-665X |
| language | English |
| last_indexed | 2024-03-11T18:04:35Z |
| publishDate | 2023-10-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Environmental Science |
| spelling | doaj.art-e353107a248848d2aafc37967d761b442023-10-17T08:47:32ZengFrontiers Media S.A.Frontiers in Environmental Science2296-665X2023-10-011110.3389/fenvs.2023.12166301216630Application of X-ray computed tomography in soil and plant -a reviewTridiv Ghosh0Pragati Pramanik Maity1Sheikh M. F. Rabbi2Sheikh M. F. Rabbi3T. K. Das4Ranjan Bhattacharyya5ICAR- Indian Agricultural Research Institute, New Delhi, IndiaICAR- Indian Agricultural Research Institute, New Delhi, IndiaSchool of Life and Environmental Sciences, University of Sydney, Camperdown, NSW, AustraliaDepartment of Agriculture and Fisheries, Queensland Government, Toowoomba, QLD, AustraliaICAR- Indian Agricultural Research Institute, New Delhi, IndiaICAR- Indian Agricultural Research Institute, New Delhi, IndiaX-ray computed tomography (X-ray CT) is a non-destructive method of soil analysis which can provide three-dimensional (3D) view, quantitative information of the internal organization of the soil. In this paper, we discuss the potential application of X-ray CT in characterization of soil properties like porosity and pore size distribution (PSD), root architecture, soil phase classification, water and solute transport in soil, and highlight the research during last 10–15 years. Here, we review the recent development of X-ray CT in soil science, use of artificial intelligence and machine learning in image analysis, point out the major challenges associated with its use, discuss few improvements to overcome these difficulties and elaborate the possible future technological developments for non-invasive/destructive soil characterization by integrating X-ray CT with recently available complementary techniques.https://www.frontiersin.org/articles/10.3389/fenvs.2023.1216630/fullbulk densitymachine learningorganic carbonpore size distributionroot morphologysynchrotron |
| spellingShingle | Tridiv Ghosh Pragati Pramanik Maity Sheikh M. F. Rabbi Sheikh M. F. Rabbi T. K. Das Ranjan Bhattacharyya Application of X-ray computed tomography in soil and plant -a review Frontiers in Environmental Science bulk density machine learning organic carbon pore size distribution root morphology synchrotron |
| title | Application of X-ray computed tomography in soil and plant -a review |
| title_full | Application of X-ray computed tomography in soil and plant -a review |
| title_fullStr | Application of X-ray computed tomography in soil and plant -a review |
| title_full_unstemmed | Application of X-ray computed tomography in soil and plant -a review |
| title_short | Application of X-ray computed tomography in soil and plant -a review |
| title_sort | application of x ray computed tomography in soil and plant a review |
| topic | bulk density machine learning organic carbon pore size distribution root morphology synchrotron |
| url | https://www.frontiersin.org/articles/10.3389/fenvs.2023.1216630/full |
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