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Application and Algorithm of Ground-Penetrating Radar for Plant Root Detection: A Review

Attention to the natural environment is equivalent to observing the space in which we live. Plant roots, which are important organs of plants, require our close attention. The method of detecting root system without damaging plants has gradually become mainstream. At the same time, machine learning...

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Detalles Bibliográficos
Autores principales: Liang, Hao, Xing, Linyin, Lin, Jianhui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7285134/
https://www.ncbi.nlm.nih.gov/pubmed/32429394
http://dx.doi.org/10.3390/s20102836
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author Liang, Hao
Xing, Linyin
Lin, Jianhui
author_facet Liang, Hao
Xing, Linyin
Lin, Jianhui
author_sort Liang, Hao
collection PubMed
description Attention to the natural environment is equivalent to observing the space in which we live. Plant roots, which are important organs of plants, require our close attention. The method of detecting root system without damaging plants has gradually become mainstream. At the same time, machine learning has been achieving good results in recent years; it has helped develop many tools to help us detect the underground environment of plants. Therefore, this article will introduce some existing content related to root detection technology and machine detection algorithms for root detection, proving that machine learning root detection technology has good recognition capabilities.
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spelling pubmed-72851342020-06-15 Application and Algorithm of Ground-Penetrating Radar for Plant Root Detection: A Review Liang, Hao Xing, Linyin Lin, Jianhui Sensors (Basel) Review Attention to the natural environment is equivalent to observing the space in which we live. Plant roots, which are important organs of plants, require our close attention. The method of detecting root system without damaging plants has gradually become mainstream. At the same time, machine learning has been achieving good results in recent years; it has helped develop many tools to help us detect the underground environment of plants. Therefore, this article will introduce some existing content related to root detection technology and machine detection algorithms for root detection, proving that machine learning root detection technology has good recognition capabilities. MDPI 2020-05-16 /pmc/articles/PMC7285134/ /pubmed/32429394 http://dx.doi.org/10.3390/s20102836 Text en © 2020 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 Review
Liang, Hao
Xing, Linyin
Lin, Jianhui
Application and Algorithm of Ground-Penetrating Radar for Plant Root Detection: A Review
title Application and Algorithm of Ground-Penetrating Radar for Plant Root Detection: A Review
title_full Application and Algorithm of Ground-Penetrating Radar for Plant Root Detection: A Review
title_fullStr Application and Algorithm of Ground-Penetrating Radar for Plant Root Detection: A Review
title_full_unstemmed Application and Algorithm of Ground-Penetrating Radar for Plant Root Detection: A Review
title_short Application and Algorithm of Ground-Penetrating Radar for Plant Root Detection: A Review
title_sort application and algorithm of ground-penetrating radar for plant root detection: a review
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7285134/
https://www.ncbi.nlm.nih.gov/pubmed/32429394
http://dx.doi.org/10.3390/s20102836
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