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An Ultra-Wideband Frequency System for Non-Destructive Root Imaging

Understanding the root system architecture of plants as they develop is critical for increasing crop yields through plant phenotyping, and ultra-wideband imaging systems have shown potential as a portable, low-cost solution to non-destructive imaging root system architectures. This paper presents th...

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Autores principales: Truong, Thomas, Dinh, Anh, Wahid, Khan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6112023/
https://www.ncbi.nlm.nih.gov/pubmed/30050024
http://dx.doi.org/10.3390/s18082438
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author Truong, Thomas
Dinh, Anh
Wahid, Khan
author_facet Truong, Thomas
Dinh, Anh
Wahid, Khan
author_sort Truong, Thomas
collection PubMed
description Understanding the root system architecture of plants as they develop is critical for increasing crop yields through plant phenotyping, and ultra-wideband imaging systems have shown potential as a portable, low-cost solution to non-destructive imaging root system architectures. This paper presents the design, implementation, and analysis of an ultra-wideband imaging system for use in imaging potted plant root system architectures. The proposed system is separated into three main subsystems: a Data Acquisition module, a Data Processing module, and an Image Processing and Analysis module. The Data Acquisition module consists of simulated and experimental implementations of a non-contact synthetic aperture radar system to measure ultra-wideband signal reflections from concealed scattering objects in a pot containing soil. The Data Processing module is responsible for interpreting the measured ultra-wideband signals and producing an image using a delay-and-sum beamforming algorithm. The Image Processing and Analysis module is responsible for improving image quality and measuring root depth and average root diameter in an unsupervised manner. The Image Processing and Analysis module uses a modified top-hat transformation alongside quantization methods based on energy distributions in the image to isolate the surface of the imaged root. Altogether, the proposed subsystems are capable of imaging and measuring concealed taproot system architectures with controlled soil conditions; however, the performance of the system is highly dependent on knowledge of the soil conditions. Smaller roots in difficult imaging conditions require future work into understanding and compensating for unwanted noise. Ultimately, this paper sought to provide insight into improving imaging quality of ultra-wideband (UWB) imaging systems for plant root imaging for other works to be followed.
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spelling pubmed-61120232018-08-30 An Ultra-Wideband Frequency System for Non-Destructive Root Imaging Truong, Thomas Dinh, Anh Wahid, Khan Sensors (Basel) Article Understanding the root system architecture of plants as they develop is critical for increasing crop yields through plant phenotyping, and ultra-wideband imaging systems have shown potential as a portable, low-cost solution to non-destructive imaging root system architectures. This paper presents the design, implementation, and analysis of an ultra-wideband imaging system for use in imaging potted plant root system architectures. The proposed system is separated into three main subsystems: a Data Acquisition module, a Data Processing module, and an Image Processing and Analysis module. The Data Acquisition module consists of simulated and experimental implementations of a non-contact synthetic aperture radar system to measure ultra-wideband signal reflections from concealed scattering objects in a pot containing soil. The Data Processing module is responsible for interpreting the measured ultra-wideband signals and producing an image using a delay-and-sum beamforming algorithm. The Image Processing and Analysis module is responsible for improving image quality and measuring root depth and average root diameter in an unsupervised manner. The Image Processing and Analysis module uses a modified top-hat transformation alongside quantization methods based on energy distributions in the image to isolate the surface of the imaged root. Altogether, the proposed subsystems are capable of imaging and measuring concealed taproot system architectures with controlled soil conditions; however, the performance of the system is highly dependent on knowledge of the soil conditions. Smaller roots in difficult imaging conditions require future work into understanding and compensating for unwanted noise. Ultimately, this paper sought to provide insight into improving imaging quality of ultra-wideband (UWB) imaging systems for plant root imaging for other works to be followed. MDPI 2018-07-26 /pmc/articles/PMC6112023/ /pubmed/30050024 http://dx.doi.org/10.3390/s18082438 Text en © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Truong, Thomas
Dinh, Anh
Wahid, Khan
An Ultra-Wideband Frequency System for Non-Destructive Root Imaging
title An Ultra-Wideband Frequency System for Non-Destructive Root Imaging
title_full An Ultra-Wideband Frequency System for Non-Destructive Root Imaging
title_fullStr An Ultra-Wideband Frequency System for Non-Destructive Root Imaging
title_full_unstemmed An Ultra-Wideband Frequency System for Non-Destructive Root Imaging
title_short An Ultra-Wideband Frequency System for Non-Destructive Root Imaging
title_sort ultra-wideband frequency system for non-destructive root imaging
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6112023/
https://www.ncbi.nlm.nih.gov/pubmed/30050024
http://dx.doi.org/10.3390/s18082438
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