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Development of smart technology for forestry applications

  • Date of declaration:2024-03-28
  • PI:Chin-mei Lee
  • Division:Forest Utilization Division
Research title
Science and Technology Programs(2023)
KeyWord
Planted forest, Glulam, Cross-laminated timber, Wood identification, Machine learning, Training,
執行成果摘要
This study will enhance the use and value of sustainable plantation wood production, increase the recognition rate of domestically produced valuable wood, make full use of renewable resources, protect national valuable wood assets, and achieve environmentally friendly goals. CLT), laminated wood, glued beams, etc., and combined wood (composite materials) research to make full use of forest resources, while using image recognition and machine learning technology to develop wood machine identification, reduce the confusion of manpower investment and human interference, Protect national assets.