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

Adam R H Alhawari1, Tale Saeidi2, Idris Ismail3

  • 1Electrical Engineering Department, College of Engineering, Najran University, Najran 66462, Kingdom of Saudi Arabia.

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|May 1, 2023
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Summary

This study introduces an ultra-wide band (UWB) imaging system for detecting internal voids in tropical trees, crucial for the wood industry. The developed microwave imaging technique offers a reliable and repeatable method for deep zonal monitoring of tree health.

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Area of Science:

  • Agricultural Engineering
  • Non-destructive Testing
  • Electromagnetics

Background:

  • Internal voids significantly impact tropical tree health and pose economic risks to the wood and timber industries.
  • Current inspection methods lack effectiveness for deep zonal monitoring of defects in trees.
  • Microwave imaging presents advantages in mobility, processing speed, compactness, and resolution for such applications.

Purpose of the Study:

  • To develop and validate an ultra-wide band (UWB) imaging system for detecting internal voids in tree trunks.
  • To assess the system's performance under various conditions, including different sample sizes, void configurations, and material heterogeneities.

Main Methods:

  • Proposed an ultra-wide band (UWB) imaging system utilizing UWB antennas and a reverse problem algorithm.
  • Conducted experimental studies on cylindrical wooden models (100 and 140 mm diameters) with controlled voids.
  • Validated the system through simulations and measurements on 3D printed models and a real rubber-wood trunk.

Main Results:

  • The UWB imaging system successfully detected voids in 3D printed wooden models and a rubber-wood trunk.
  • Experimental studies considered trunk sample sizes (16-30 cm), number/size of voids, and media heterogeneity.
  • The system demonstrated high reliability and repeatability in void detection.

Conclusions:

  • The proposed UWB microwave imaging system is effective for detecting internal voids in tree trunks.
  • This technology offers a promising solution for deep zonal monitoring, mitigating financial losses in the wood industry.
  • The system's reliability and repeatability support its potential for practical application in forest health assessment.