Health Control of Tree Trunk Utilizing Microwave Imaging and Reverse Problem Algorithms

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dc.authoridAl-Gburi, Ahmed Jamal Abdullah/0000-0002-5305-3937
dc.authorwosidAl-Gburi, Ahmed Jamal Abdullah/AAM-4036-2021
dc.contributor.authorAlhawari, Adam R. H.
dc.contributor.authorSaeidi, Tale
dc.contributor.authorIsmail, Idris
dc.contributor.authorAlsuwian, Turki
dc.contributor.authorAl-Gburi, Ahmed Jamal Abdullah
dc.date.accessioned2024-05-19T14:50:34Z
dc.date.available2024-05-19T14:50:34Z
dc.date.issued2023
dc.departmentİstinye Üniversitesien_US
dc.description.abstractThe voids in their trunk significantly affect tropical trees' health. Both the wood and timber industries may face substantial financial losses because of the lack of an effective technique to inspect the defected trees through deep zonal monitoring. Microwave imaging offers the advantages of mobility, processing time, compactness, and resolution over alternative imaging methods. An ultra-wide band (UWB) imaging system consisting of UWB antennas and a reverse problem algorithm is proposed. Several conditions, such as the size of trunk samples (16-30 cm), number of targets, size of voids, heterogeneity of media, and number of layers, are considered in experimental studies. Based on these studies, cylindrical wooden models with 100 and 140 mm diameters, one void at the center, and three voids in different locations were 3D printed. After proving the system's ability through simulation and measurements on 3D models, a rubber-wood trunk with a length of 75 cm was cut into smaller pieces. The images created utilizing the measured data showed that the system could detect voids in the rubber trunk. Furthermore, the system indicated a high percentage of reliability and repeatability.en_US
dc.description.sponsorshipDeanship of Scientific Research at Najran University [NU/DRP/SERC/12/5]en_US
dc.description.sponsorship? ACKNOWLEDGMENTS The author s are thankful to the Deanship of Scientific Research at Najran University for funding this work under the General Research Funding program grant code (NU/DRP/SERC/12/5) .en_US
dc.identifier.doi10.1021/acsomega.2c07015
dc.identifier.endpage14400en_US
dc.identifier.issn2470-1343
dc.identifier.issue16en_US
dc.identifier.pmid37125111en_US
dc.identifier.scopus2-s2.0-85152740162en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage14387en_US
dc.identifier.urihttps://doi.org10.1021/acsomega.2c07015
dc.identifier.urihttps://hdl.handle.net/20.500.12713/5746
dc.identifier.volume8en_US
dc.identifier.wosWOS:000970570400001en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherAmer Chemical Socen_US
dc.relation.ispartofAcs Omegaen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.snmz20240519_kaen_US
dc.subjectTime-Reversalen_US
dc.subjectOil Palmen_US
dc.subjectAntennaen_US
dc.subjectLocalizationen_US
dc.subjectMirroren_US
dc.subjectSystemen_US
dc.subjectTargeten_US
dc.subjectRubberen_US
dc.subjectWooden_US
dc.titleHealth Control of Tree Trunk Utilizing Microwave Imaging and Reverse Problem Algorithmsen_US
dc.typeArticleen_US

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