- Title
- Applications of Computed Tomography (CT) in environmental soil and plant sciences
- Creator
- Zhang, Huan; He, Hailong; Gao, Yanjun; Mady, Ahmed; Filipović, Vilim; Dyck, Miles; Lv, Jialong; Liu, Yang
- Date
- 2023
- Type
- Text; Journal article; Review
- Identifier
- http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/194946
- Identifier
- vital:18451
- Identifier
-
https://doi.org/10.1016/j.still.2022.105574
- Identifier
- ISSN:0167-1987 (ISSN)
- Abstract
- Computed tomography (CT) in combination with advanced image processing can be used to non-invasively and non-destructively visualize complex interiors of living and non-living media in 2 and 3-dimensional space. In addition to medical applications, CT has also been widely used in soil and plant science for visual and quantitative descriptions of physical, chemical, and biological properties and processes. The technique has been used successfully on numerous applications. However, with a rapidly evolving CT technologies and expanding applications, a renewed review is desirable. Only a few attempts have been made to collate and review examples of CT applications involving the integrated field of soil and plant research in recent years. Therefore, the objectives of this work were to: (1) briefly introduce the basic principles of CT and image processing; (2) identify the research status and hot spots of CT using bibliometric analysis based on Web of Science literature over the past three decades; (3) provide an overall review of CT applications in soil science for measuring soil properties (e.g., porous soil structure, soil components, soil biology, heat transfer, water flow, and solute transport); and (4) give an overview of applications of CT in plant science to detect morphological structures, plant material properties, and root-soil interaction. Moreover, the limitations of CT and image processing are discussed and future perspectives are given. © 2022 Elsevier B.V.
- Publisher
- Elsevier B.V.
- Relation
- Soil and Tillage Research Vol. 226, no. (2023), p.
- Rights
- All metadata describing materials held in, or linked to, the repository is freely available under a CC0 licence
- Rights
- Copyright © 2022 Elsevier B.V.
- Subject
- 30 Agricultural, Veterinary and Food Sciences; 31 Biological Sciences; 41 Environmental Sciences; Bibliometrics; Computed tomography; Image analysis; Plant science; Soil science; Solute migration
- Reviewed
- Funder
- Funding for this research was provided in part by National Natural Science Foundation of China [NSFC, Grant No. 42177291 ], Croatian Science Foundation [ UIP-2019-04-5409 , subsurface preferential transport processes in agricultural hillslope soils—SUPREHILL], High-End Foreign Experts Project from the Ministry of Science and Technology [ G2021172006L , G2022172040L ], and the 111 Project [No. B12007 ].
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