Wood Anatomy - from Tradition into the Digital Future

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会议名称:“2022世界木材日”研讨会暨第四届国际林联(IUFRO)林产品文化研究组讨论会
会议时间:2022年3月21日

报告嘉宾:Gerald Koch
嘉宾简介:德国汉堡图能研究所(Thünen Institute)科学木材收藏馆馆长


摘要

The knowledge about recognition and utilization of commercial timbers is of prime importance to forestry, timber trade and wood industry as well as private consumers for the assessment of wood quality and utilisation. Furthermore, wood identification is important in enforcing the control of illegal logging according to the requirements of international regulations, e.g. European Timber Regulation, USA Lacey Act, or Illegal Logging Prohibition Act in Australia and CITES policies.

A valuable support for computer-aided wood identification is introduced and provided by the new developed Apps macroHOLZdata and CITESwoodID. The Apps enable the user to identify trade timbers and CITES protected species by means of macroscopic wood structural features.

In addition, the App macroHOLZdata allows access to a data pool with timber specific information on properties, utilization, and other relevant characteristics of the timbers, i.e., data on biological, physical and mechanical properties, wood machining, wood processing, and appropriate end uses. Both Apps for smartphones and tablets are freely available in four language versions (App Store® and Google Play®) and serve as visual (illustrations) and textual (descriptions) identification aid to all institutions and persons involved in wood science. The modern digital systems may also constitute very useful applications for professionals in forestry, wood industry and the wood products market, architecture, engineering, etc., as well as wood enthusiasts. Fundamental developments in the scientific field of wood anatomy will also be forthcoming by the design of automated 76identification systems (deep learning or machine learning). The first portable digital systems are currently available and several basic studies has been published in this rapidly moving field of computer-assisted wood identification using neural network methods. The very dynamic progress in the field of modern wood anatomy and digital wood identification will be presented.

Notes: The App CITESwoodID is already downloadable; the App macroHOLZdata will be published in March

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