TY  - JOUR
AV  - none
TI  - Health Control of Tree Trunk Utilizing Microwave Imaging and Reverse Problem Algorithms
ID  - scholars18607
SP  - 14387
N1  - cited By 0
N2  - The voids in their trunk significantly affect tropical treesâ?? 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 systemâ??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. © 2023 The Authors. Published by American Chemical Society
IS  - 16
Y1  - 2023///
EP  - 14400
VL  - 8
A1  - Alhawari, A.R.H.
A1  - Saeidi, T.
A1  - Ismail, I.
A1  - Alsuwian, T.
A1  - Al-Gburi, A.J.A.
JF  - ACS Omega
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-85152740162&doi=10.1021%2facsomega.2c07015&partnerID=40&md5=1e183009a906cda0a97f46a3cc250446
ER  -