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Early detection of red palm weevil using distributed optical sensor
Red palm weevil (RPW) poses a serious threat to the cultivation of date palms. It is considered to be the most destructive epidemic pest of palms, responsible for massive economic losses worldwide. Curative methods for RPW are not difficult to apply; however, the early detection of the pest remains...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7035322/ https://www.ncbi.nlm.nih.gov/pubmed/32081959 http://dx.doi.org/10.1038/s41598-020-60171-7 |
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author | Ashry, Islam Mao, Yuan Al-Fehaid, Yousef Al-Shawaf, Abdulmoneim Al-Bagshi, Mansour Al-Brahim, Salman Ng, Tien Khee Ooi, Boon S. |
author_facet | Ashry, Islam Mao, Yuan Al-Fehaid, Yousef Al-Shawaf, Abdulmoneim Al-Bagshi, Mansour Al-Brahim, Salman Ng, Tien Khee Ooi, Boon S. |
author_sort | Ashry, Islam |
collection | PubMed |
description | Red palm weevil (RPW) poses a serious threat to the cultivation of date palms. It is considered to be the most destructive epidemic pest of palms, responsible for massive economic losses worldwide. Curative methods for RPW are not difficult to apply; however, the early detection of the pest remains a great challenge. Although several detection techniques have been implemented for the early detection of RPW, none of these methods have been proven to be reliable. Here, we use an optical-fiber-distributed acoustic sensor (DAS) as a paradigm shift technology for the early detection of RPW. Our sensitive sensor shows a detection of feeding sound produced by larvae as young as 12 days, in an infested tree. In comparison with existing, commonly-used technologies, this novel sensing technique represents a cost-effective and non-invasive alternative that could provide 24-7, real-time monitoring of 1,000 palm trees or even more. It could also monitor the temperature, an essential feature to control farm fires, another major problem for the cultivation of palm trees around the world. |
format | Online Article Text |
id | pubmed-7035322 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-70353222020-02-28 Early detection of red palm weevil using distributed optical sensor Ashry, Islam Mao, Yuan Al-Fehaid, Yousef Al-Shawaf, Abdulmoneim Al-Bagshi, Mansour Al-Brahim, Salman Ng, Tien Khee Ooi, Boon S. Sci Rep Article Red palm weevil (RPW) poses a serious threat to the cultivation of date palms. It is considered to be the most destructive epidemic pest of palms, responsible for massive economic losses worldwide. Curative methods for RPW are not difficult to apply; however, the early detection of the pest remains a great challenge. Although several detection techniques have been implemented for the early detection of RPW, none of these methods have been proven to be reliable. Here, we use an optical-fiber-distributed acoustic sensor (DAS) as a paradigm shift technology for the early detection of RPW. Our sensitive sensor shows a detection of feeding sound produced by larvae as young as 12 days, in an infested tree. In comparison with existing, commonly-used technologies, this novel sensing technique represents a cost-effective and non-invasive alternative that could provide 24-7, real-time monitoring of 1,000 palm trees or even more. It could also monitor the temperature, an essential feature to control farm fires, another major problem for the cultivation of palm trees around the world. Nature Publishing Group UK 2020-02-21 /pmc/articles/PMC7035322/ /pubmed/32081959 http://dx.doi.org/10.1038/s41598-020-60171-7 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Ashry, Islam Mao, Yuan Al-Fehaid, Yousef Al-Shawaf, Abdulmoneim Al-Bagshi, Mansour Al-Brahim, Salman Ng, Tien Khee Ooi, Boon S. Early detection of red palm weevil using distributed optical sensor |
title | Early detection of red palm weevil using distributed optical sensor |
title_full | Early detection of red palm weevil using distributed optical sensor |
title_fullStr | Early detection of red palm weevil using distributed optical sensor |
title_full_unstemmed | Early detection of red palm weevil using distributed optical sensor |
title_short | Early detection of red palm weevil using distributed optical sensor |
title_sort | early detection of red palm weevil using distributed optical sensor |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7035322/ https://www.ncbi.nlm.nih.gov/pubmed/32081959 http://dx.doi.org/10.1038/s41598-020-60171-7 |
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