Developing a novel algorithm for the condition assessment of utility timber poles

This research presents a novel statistical algorithm for the condition assessment of utility timber poles using advanced signal processing techniques and machine learning algorithms. The developed algorithm can determine the health conditions of the poles with high precision and accuracy which can be implemented for field application.