A machine-learning approach for classifying defects on tree trunks using terrestrial LiDAR

Van-Tho Nguyen,Thiéry Constant,Bertrand Kerautret,Isabelle Debled-Rennesson,Francis Colin

Computers and Electronics in Agriculture（2020）

引用 17|浏览9

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摘要

•Defects with a diameter from 0.5 cm on tree trunks could be detected in TLS data.•Good accuracy of the defects classification was achieved with an F1 score of 0.86.•The accuracy was similar between tested species with different bark roughness.

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关键词

Roundwood quality,Random forests,Standing tree grading

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