Application of X-ray computed tomography in soil and plant -a review

被引:2
|
作者
Ghosh, Tridiv [1 ]
Maity, Pragati Pramanik [1 ]
Rabbi, Sheikh M. F. [2 ,3 ]
Das, T. K. [1 ]
Bhattacharyya, Ranjan [1 ]
机构
[1] ICAR Indian Agr Res Inst, New Delhi, India
[2] Univ Sydney, Sch Life & Environm Sci, Camperdown, NSW, Australia
[3] Queensland Govt, Dept Agr & Fisheries, Toowoomba, Qld, Australia
关键词
bulk density; machine learning; organic carbon; pore size distribution; root morphology; synchrotron; PORE-SIZE DISTRIBUTION; ROOT-SYSTEM ARCHITECTURE; WATER RETENTION CURVE; BULK-DENSITY; 3-DIMENSIONAL VISUALIZATION; CARBON MINERALIZATION; HYDRAULIC-PROPERTIES; SELF-ORGANIZATION; IMAGE; QUANTIFICATION;
D O I
10.3389/fenvs.2023.1216630
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
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.
引用
收藏
页数:18
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