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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...

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Autores principales: Shi, Xiaodong, Li, Jiaoyang, Mukherjee, Saptarshi, Datta, Srijan, Rathod, Vivek, Wang, Xinyu, Lu, Wei, Udpa, Lalita, Deng, Yiming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
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.
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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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