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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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2018
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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. |
format | Online Article Text |
id | pubmed-6112023 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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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