Research on High-Throughput Crop Root Phenotype 3D Reconstruction Using X-ray CT in 5G Era

Jinpeng Wang, Haotian Liu, Qingxue Yao, Jeremy Gillbanks, Xin Zhao

Research output: Contribution to journalArticlepeer-review

3 Citations (Web of Science)

Abstract

Currently, the three-dimensional detection of plant root structure is one of the core issues in studies on plant root phenotype. Manual measurement methods are not only cumbersome but also have poor reliability and damage the root. Among many solutions, X-ray computed tomography (X-ray CT) can help us observe the plant root structure in a three-dimensional and non-destructive form under the condition of underground soil in situ. Therefore, this paper proposes a high-throughput method and process for plant three-dimensional root phenotype and reconstruction based on X-ray CT technology. Firstly, this paper proposes a high-throughput transmission for the root phenotyping and utilizing the imaging technique to extract the root characteristics; then, the study adopts a moving cube algorithm to reconstruct the 3D (three-dimensional) root. Finally, this research simulates the proposed algorithm, and the simulation results show that the presented method in this paper works well.
Original languageEnglish
Article number276
Number of pages19
JournalElectronics
Volume12
Issue number2
DOIs
Publication statusPublished - 5 Jan 2023

Fingerprint

Dive into the research topics of 'Research on High-Throughput Crop Root Phenotype 3D Reconstruction Using X-ray CT in 5G Era'. Together they form a unique fingerprint.

Cite this