Early detection of red palm weevil using distributed optical sensor
dc.contributor.author | Ashry, Islam | |
dc.contributor.author | Mao, Yuan | |
dc.contributor.author | Al-Fehaid, Yousef | |
dc.contributor.author | Al-Shawaf, Abdulmoneim | |
dc.contributor.author | Al-Bagshi, Mansour | |
dc.contributor.author | Al-Brahim, Salman | |
dc.contributor.author | Ng, Tien Khee | |
dc.contributor.author | Ooi, Boon S. | |
dc.date.accessioned | 2020-02-24T08:28:35Z | |
dc.date.available | 2020-02-24T08:28:35Z | |
dc.date.issued | 2020-02-21 | |
dc.date.submitted | 2019-05-20 | |
dc.identifier.citation | Ashry, I., Mao, Y., Al-Fehaid, Y., Al-Shawaf, A., Al-Bagshi, M., Al-Brahim, S., … Ooi, B. S. (2020). Early detection of red palm weevil using distributed optical sensor. Scientific Reports, 10(1). doi:10.1038/s41598-020-60171-7 | |
dc.identifier.doi | 10.1038/s41598-020-60171-7 | |
dc.identifier.uri | http://hdl.handle.net/10754/661637 | |
dc.description.abstract | 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. | |
dc.description.sponsorship | This work was supported by KAUST-Red Palm Weevil Early Detection - Partnership Funds (REP/1/3814-01-01 and REP/1/3814-02-01) and KAUST baseline funding (BAS/1/1614-01-01). We also acknowledge English language editing provided for this work by Elisabeth M. Lutanie, Research Publication Services at KAUST. | |
dc.publisher | Springer Science and Business Media LLC | |
dc.relation.url | http://www.nature.com/articles/s41598-020-60171-7 | |
dc.relation.url | https://www.nature.com/articles/s41598-020-60171-7.pdf | |
dc.rights | 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. Te 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. | |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0 | |
dc.title | Early detection of red palm weevil using distributed optical sensor | |
dc.type | Article | |
dc.contributor.department | Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division | |
dc.contributor.department | Electrical Engineering Program | |
dc.contributor.department | Photonics Laboratory | |
dc.identifier.journal | Scientific Reports | |
dc.eprint.version | Publisher's Version/PDF | |
dc.contributor.institution | Center of Date Palms and Dates, Ministry of Environment, Water and Agriculture, Al-Hassa, Kingdom of Saudi Arabia. | |
dc.contributor.institution | Office of the Ministry of Environment, Water and Agriculture, Al-Hassa, Kingdom of Saudi Arabia. | |
kaust.person | Ashry, Islam | |
kaust.person | Mao, Yuan | |
kaust.person | Ng, Tien Khee | |
kaust.person | Ooi, Boon S. | |
kaust.grant.number | BAS/1/1614-01-01 | |
kaust.grant.number | REP/1/3814-01-01 | |
dc.date.accepted | 2020-02-07 | |
refterms.dateFOA | 2020-02-24T08:29:55Z | |
kaust.acknowledged.supportUnit | KAUST baseline fund | |
kaust.acknowledged.supportUnit | Research Publication Services | |
dc.date.published-online | 2020-02-21 | |
dc.date.published-print | 2020-12 |
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