世界林业研究2025，Vol.38Issue(5)：54-62,9.DOI:10.13348/j.cnki.sjlyyj.2025.0089.y
木材识别技术研究进展:从传统经验分析到智能鉴定系统
Research Advances in Wood Identification Technology:from Traditional Empirical Analysis to Intelligent Identification System
摘要
Abstract
Accurate wood identification holds significant ecological and economic value for ensuring the sustainable utilization of global forest resources,combating illegal logging and related trade,and protecting biodiversity.This paper reviews the research progress in wood identification technology,tracing its evolution from traditional empirical analysis towards integrated intelligent identification.It first reviews the value and limitations of the traditional empirical identification method relying on anatomical characteristics.Subsequently various techniques are elucidated,including chromatographic and mass spectrometric techniques based on chemical fingerprints,spectroscopic techniques based on optical perception,DNA barcoding and fingerprinting techniques based on genetic information,and image recognition techniques based on manually extracted features,and their principles and applications for addressing core challenges such as identifying closely related species and determining geographical origin are analyzed.Furthermore,it discusses the two main types of intelligent identification system:computer visual recognition systems based on deep learning convolutional neural networks(CNNs)and multimodal fusion systems that integrate multi-source information.At the end,the paper concludes that the future direction of the field lies in constructing integrated intelligent identification systems,and the core pathways include the breakthroughs in multimodal fusion algorithms,the co-construction and sharing of a global wood digital database,and the development of lightweight and rapid field detection technologies.关键词
木材识别/智能鉴定系统/化学指纹/光学感知/DNA分子标记/计算机视觉/多模态融合Key words
wood identification/smart identification system/chemical fingerprint/optical sensing/DNA molecular marker/computer vision/multimodal fusion分类
农业科技引用本文复制引用
文源馨,赵浩然,王先建,周稚钧,余丽萍..木材识别技术研究进展:从传统经验分析到智能鉴定系统[J].世界林业研究,2025,38(5):54-62,9.基金项目
2024年贵州省大学生创新创业训练计划项目"红豆树心材形成历程"(gzusc2024085). （gzusc2024085）
