SMART

4forest

Smart Tools for

Forest Operations Assessment

The Thai forest industry relies on Eucalyptus, Rubber tree, and Teak for plantation forestry. Despite differences in tree characteristics, timber value, and uses, their harvesting operations share common features. Logging is typically done manually or semi-mechanized, with significant human involvement. Eucalyptus is felled with brush saws or chainsaws, Teak with chainsaws, and Rubber trees with chainsaws or machinery like excavators. Delimbing and crosscutting methods also vary but commonly use chainsaws and hand tools. Mechanized harvesting is rare due to high costs and technical challenges. Improving manual harvesting methods is crucial for the industry. Studying one tree species can provide insights applicable to the others, enhancing the overall Thai forest harvesting system.

This research aims to enhance forest operations methods and explore new assessment approaches by integrating deep learning, ergonomic analysis, LiDAR technology, and algorithm development. The study seeks to revolutionize forest operations assessment, benefiting both the Thai forest industry and forestry research as a whole. By combining these advanced techniques, the proposal aspires to create a smarter, more sustainable future for forest operations, with potential applications across various tree species and forest contexts. The research emphasizes the importance of collaboration in advancing forestry practices, contributing to a more efficient and informed forest harvesting system.