成果/Result
- Developing deep learning models to automate rosewood tree species identification for CITES designation and implementation被引量：30收藏
- 作者：He, Tuo[1,2] Lu, Yang[1,2] Jiao, Lichao[1,2] Zhang, Yonggang[1,2] Jiang, Xiaomei[1,2]
- 机构：Chinese Acad Forestry;Chinese Acad Forestry
- 来源：HOLZFORSCHUNG 2020
- 关键词：CITES Dalbergia deep learning models Pterocarpus rosewood tree species wood identification
- Machine Learning Models with Quantitative Wood Anatomy Data Can Discriminate between Swietenia macrophylla and Swietenia mahagoni被引量：30收藏
- 作者：He, Tuo[1,2,3] Marco, Joao[3] Soares, Richard[3,4] Yin, Yafang[1,2] Wiedenhoeft, Alex C.[3,4,5,6]
- 机构：Chinese Acad Forestry;Chinese Acad Forestry;US Forest Serv;Univ Wisconsin;Purdue Univ
- 来源：FORESTS 2020
- 关键词：CITES machine learning quantitative wood anatomy SVM Swietenia
- DNA barcoding authentication for the wood of EIght endangered Dalbergia timber species using machine learning approaches被引量：28收藏
- 作者：He, Tuo[1,2] Jiao, Lichao[1,2] Yu, Min[1,2] Guo, Juan[1,2] Jiang, Xiaomei[1,2]
- 机构：Chinese Acad Forestry;Chinese Acad Forestry
- 来源：HOLZFORSCHUNG 2019
- 关键词：Dalbergia timber species DNA barcoding illegal logging machine learning approaches (MIAs) reference library SMO classifier wood identification
- Ray Traits of Juvenile Wood and Mature Wood: Pinus massonia and Cunninghamia lanceolata被引量：16收藏
- 作者：Meng, Qiulu[1,2,3] Fu, Feng[2] Wang, Jie[2,3] He, Tuo[2,3] Jiang, Xiaomei[2,3]
- 机构：Guangxi Univ;Chinese Acad Forestry;Chinese Acad Forestry
- 来源：FORESTS 2021
- 关键词：conifer wood anatomy juvenile wood mature wood ray
- Can quantitative wood anatomy data coupled with machine learning analysis discriminate CITES species from thEIr look-alikes?被引量：13收藏
- 作者：Liu, Shoujia[1,2] He, Tuo[1,2] Wang, Jiajun[1] Chen, Jiabao[1,2] Guo, Juan[1,2]
- 机构：Chinese Acad Forestry;Chinese Acad Forestry;USDA;Univ Wisconsin;Purdue Univ
- 来源：WOOD SCIENCE AND TECHNOLOGY 2022
- 关键词：Classifiers - Conservation - Decision trees - Machine learning - Timber
- Applicability of chloroplast DNA barcodes for wood identification between Santalum album and its adulterants被引量：13收藏
- 作者：Jiao, Lichao[1,2] He, Tuo[1,2] Dormontt, Eleanor E.[3] Zhang, Yonggang[1,2] Lowe, Andrew J.[3]
- 机构：Chinese Acad Forestry;Chinese Acad Forestry;Univ Adelaide
- 来源：HOLZFORSCHUNG 2019
- 关键词：barcode combinations psbA-trnH and trnK DNA barcode illegal logging nEIghbor-joining (NJ) method sandal wood species identification TaxonDNA method
- Deep learning-based species identification of gymnosperm xylem: The practice in digital forestry被引量：4收藏
- 作者：Zheng, Chang[1,2] He, Tuo[1,2,3] Jiao, Lichao[1,2] Lu, Yang[1,2] Liu, Shoujia[1,2]
- 机构：Chinese Acad Forestry;Natl Forestry & Grassland Adm;Natl Forestry & Grassland Adm;Northeast Forestry Univ;Northwest A&F Univ
- 来源：COMPUTERS AND ELECTRONICS IN AGRICULTURE 2025
- 关键词：Agroforestry health monitoring Computer vision Feature visualization Gymnosperm tree Wood anatomy Wood identification
- Similarity network fusion for aggregating headspace GC-MS and direct analysis in real time-mass spectrometry data from solid samples to enhance species identification efficiency of high-temperature heated wood被引量：3收藏
- 作者：Zhang, Maomao[1,2,3] Guo, Juan[2,3] Lu, Yang[2,3] Jiao, Lichao[2,3] He, Tuo[2,3]
- 机构：Xian Univ Architecture & Technol;Chinese Acad Forestry;Chinese Acad Forestry
- 来源：JOURNAL OF WOOD SCIENCE 2022
- 关键词：Wood identification Headspace-gas chromatography-mass spectrometry (HS-GC-MS) Similarity network fusion (SNF) High-temperature heated wood Direct analysis in real time-mass spectrometry (DART-MS)
- Automated species discrimination and feature visualization of closely related Pterocarpus wood species using deep learning models: comparison of four convolutional neural networks被引量：1收藏
- 作者：Liu, Shoujia[1,2] Zheng, Chang[1,2] He, Tuo[1,2,3] Zhan, Weihui[1,2] Gasson, Peter[4]
- 机构：Chinese Acad Forestry;Chinese Acad Forestry;Natl Forestry & Grassland Adm;Royal Bot Gardens
- 来源：WOOD SCIENCE AND TECHNOLOGY 2025
- 关键词：Convolutional neural networks Data augmentation Layer class activation mapping
Pterocarpus Species identification
- Wood discrimination of six commonly traded Phoebe and Machilus species using high-resolution plastid and nuclear DNA barcodes被引量：1收藏
- 作者：Lu, Yang[1,2,3,4] Jiao, Lichao[1,2,3,4] Liu, Shoujia[1,2,3,4] He, Tuo[1,2,3,4] Jiang, Xiaomei[1,2,3,4]
- 机构：Chinese Acad Forestry;Chinese Acad Forestry;Natl Forestry & Grassland Adm;CITES Wildlife Forens Testing Lab
- 来源：HOLZFORSCHUNG 2024
- 关键词：high-resolution region Machilus nuclear barcode Phoebe wood anatomy
- 木材定量解剖研究新进展被引量：0收藏
- 作者：郭娟[1] 焦立超[1] 何拓[1] 马灵玉[1] 姜笑梅[1]
- 机构：中国林业科学研究院木材工业研究所、中国林业科学研究院木材标本馆、国家林业和草原局木材标本资源库
- 来源：《林业科学》 2025
- 关键词：次生木质部 木材解剖学 定量解剖 构造特征 高通量测试
- 摘要：木材解剖学是研究木材(次生木质部)中各类细胞形态特征、排列、比量、结构和功能的一门科学。在木材解剖学框架内,开展木材构造特征定量化研究,实现木材解剖信息的定量提取、挖掘、整合与应用,科学构建木材构造特征与树种生理功能、气...
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- 桃花心木木材定量解剖特征变异性及其识别被引量：0收藏
- 作者：刘守佳[1,2,3] 何拓[1,2,3,4] 陆杨[1,2,3] 焦立超[1,2,3] 郭娟[1,2,3]
- 机构：中国林业科学研究院木材工业研究所;中国林业科学研究院木材标本馆;国家林业和草原局木材标本资源库;国家林业和草原局野生动物保护监测中心;美国林产品实验室木材解剖研究中心
- 来源：《林业科学》 2024
- 关键词：桃花心木 定量解剖 变异规律 随机森林 木材识别
- 摘要：[目的]基于定量解剖方法探究桃花心木属3种树种木材的构造特征,揭示其不同构造特征的种间和种内变异规律,为木材“种”水平的准确识别提供科学依据。[方法]针对大叶桃花心木、桃花心木和矮叶桃花心木木材标本显微切片,通过光学显微...
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- iWood:基于卷积神经网络的濒危珍贵树种木材自动识别系统被引量：0收藏
- 作者：何拓[1] 刘守佳[1] 陆杨[1] 张永刚[1] 焦立超[1]
- 机构：中国林业科学研究院木材工业研究所中国林业科学研究院木材标本馆
- 来源：《林业科学》 2021
- 关键词：iWood 卷积神经网络 木材构造特征 图像数据集 木材自动识别 识别精度
- 摘要：【目的】构建基于卷积神经网络的木材识别系统,实现木材树种在多场景条件下的自动精准识别,为我国提升CITES履约执法能力、加强林产品产业链监管以及保障木材安全提供科技支撑。【方法】采集15种黄檀属和11种紫檀属木材标本横切...
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