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Ultra-Wideband Microwave Imaging System for Root Phenotyping
The roots are a vital organ for plant growth and health. The opaque surrounding environment of the roots and the complicated growth process means that in situ and non-destructive root phenotyping face great challenges, which thus spur great research interests. The existing methods for root phenotypi...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8914630/ https://www.ncbi.nlm.nih.gov/pubmed/35271178 http://dx.doi.org/10.3390/s22052031 |
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author | Shi, Xiaodong Li, Jiaoyang Mukherjee, Saptarshi Datta, Srijan Rathod, Vivek Wang, Xinyu Lu, Wei Udpa, Lalita Deng, Yiming |
author_facet | Shi, Xiaodong Li, Jiaoyang Mukherjee, Saptarshi Datta, Srijan Rathod, Vivek Wang, Xinyu Lu, Wei Udpa, Lalita Deng, Yiming |
author_sort | Shi, Xiaodong |
collection | PubMed |
description | The roots are a vital organ for plant growth and health. The opaque surrounding environment of the roots and the complicated growth process means that in situ and non-destructive root phenotyping face great challenges, which thus spur great research interests. The existing methods for root phenotyping are either unable to provide high-precision and high accuracy in situ detection, or they change the surrounding root environment and are destructive to root growth and health. Thus,we propose and develop an ultra-wideband microwave scanning method that uses time reversal to achieve in situ root phenotyping nondestructively. To verify the method’s feasibility, we studied an electromagnetic numerical model that simulates the transmission signal of two ultra-wideband microwave antennas. The simulated signal of roots with different shapes shows the proposed system’s capability to measure the root size in the soil. Experimental validations were conducted considering three sets of measurements with different sizes, numbers and locations, and the experimental results indicate that the developed imaging system was able to differentiate root sizes and numbers with high contrast. The reconstruction from both simulations and experimental measurements provided accurate size estimation of the carrots in the soil, which indicates the system’s potential for root imaging. |
format | Online Article Text |
id | pubmed-8914630 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-89146302022-03-12 Ultra-Wideband Microwave Imaging System for Root Phenotyping Shi, Xiaodong Li, Jiaoyang Mukherjee, Saptarshi Datta, Srijan Rathod, Vivek Wang, Xinyu Lu, Wei Udpa, Lalita Deng, Yiming Sensors (Basel) Article The roots are a vital organ for plant growth and health. The opaque surrounding environment of the roots and the complicated growth process means that in situ and non-destructive root phenotyping face great challenges, which thus spur great research interests. The existing methods for root phenotyping are either unable to provide high-precision and high accuracy in situ detection, or they change the surrounding root environment and are destructive to root growth and health. Thus,we propose and develop an ultra-wideband microwave scanning method that uses time reversal to achieve in situ root phenotyping nondestructively. To verify the method’s feasibility, we studied an electromagnetic numerical model that simulates the transmission signal of two ultra-wideband microwave antennas. The simulated signal of roots with different shapes shows the proposed system’s capability to measure the root size in the soil. Experimental validations were conducted considering three sets of measurements with different sizes, numbers and locations, and the experimental results indicate that the developed imaging system was able to differentiate root sizes and numbers with high contrast. The reconstruction from both simulations and experimental measurements provided accurate size estimation of the carrots in the soil, which indicates the system’s potential for root imaging. MDPI 2022-03-05 /pmc/articles/PMC8914630/ /pubmed/35271178 http://dx.doi.org/10.3390/s22052031 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/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 (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Shi, Xiaodong Li, Jiaoyang Mukherjee, Saptarshi Datta, Srijan Rathod, Vivek Wang, Xinyu Lu, Wei Udpa, Lalita Deng, Yiming Ultra-Wideband Microwave Imaging System for Root Phenotyping |
title | Ultra-Wideband Microwave Imaging System for Root Phenotyping |
title_full | Ultra-Wideband Microwave Imaging System for Root Phenotyping |
title_fullStr | Ultra-Wideband Microwave Imaging System for Root Phenotyping |
title_full_unstemmed | Ultra-Wideband Microwave Imaging System for Root Phenotyping |
title_short | Ultra-Wideband Microwave Imaging System for Root Phenotyping |
title_sort | ultra-wideband microwave imaging system for root phenotyping |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8914630/ https://www.ncbi.nlm.nih.gov/pubmed/35271178 http://dx.doi.org/10.3390/s22052031 |
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