Zobrazeno 1 - 10
of 72
pro vyhledávání: '"Alex C, Wiedenhoeft"'
Publikováno v:
Plant Methods, Vol 18, Iss 1, Pp 1-11 (2022)
Abstract Background Illegal logging is a global crisis with significant environmental, economic, and social consequences. Efforts to combat it call for forensic methods to determine species identity, provenance, and individual identification of wood
Externí odkaz:
https://doaj.org/article/90844ab29cfd460b91e915bea3764eb4
Publikováno v:
Frontiers in Plant Science, Vol 12 (2022)
Availability of and access to wood identification expertise or technology is a critical component for the design and implementation of practical, enforceable strategies for effective promotion, monitoring and incentivisation of sustainable practices
Externí odkaz:
https://doaj.org/article/122d6ccb9e3943248ad51a353b782e6c
Autor:
Prabu Ravindran, Frank C. Owens, Adam C. Wade, Patricia Vega, Rolando Montenegro, Rubin Shmulsky, Alex C. Wiedenhoeft
Publikováno v:
Frontiers in Plant Science, Vol 12 (2021)
Illegal logging is a major threat to forests in Peru, in the Amazon more broadly, and in the tropics globally. In Peru alone, more than two thirds of logging concessions showed unauthorized tree harvesting in natural protected areas and indigenous te
Externí odkaz:
https://doaj.org/article/343b4f02e6a24320a19914a13bb301b5
Autor:
Adriana Costa, Alex C. Wiedenhoeft
Publikováno v:
IAWA Journal. :1-18
Summary The career of Sherwin J. Carlquist was marked by numerous pioneering contributions to botany and especially to ecological and evolutionary wood anatomy. He developed some of the most important modern functional hypotheses for wood, including
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7eeda8b46e1ee70f08cdcb1935f98221
https://doi.org/10.1163/22941932-bja10119
https://doi.org/10.1163/22941932-bja10119
Autor:
Rafael E. Arévalo B., Esperanza N. Pulido R., Juan F. Solórzano G., Richard Soares, Flavio Ruffinatto, Prabu Ravindran, Alex C. Wiedenhoeft
Publikováno v:
Colombia Forestal, Vol 24, Iss 1 (2021)
Field deployable computer vision wood identification systems can play a key role in combating illegal logging in the real world. This work used 764 xylarium specimens from 84 taxa to develop an image data set to train a classifier to identify 14 comm
Externí odkaz:
https://doaj.org/article/0d04b01e00114611a418d14ced82821b
Autor:
Prabu Ravindran, Alex C. Wiedenhoeft
Publikováno v:
Forests, Vol 13, Iss 4, p 632 (2022)
Computer vision wood identification (CVWID) has focused on laboratory studies reporting consistently high model accuracies with greatly varying input data quality, data hygiene, and wood identification expertise. Employing examples from published lit
Externí odkaz:
https://doaj.org/article/4a1170fd1577498f99f8d05bfa33f661
Publikováno v:
Frontiers in Plant Science, Vol 11 (2020)
Forests, estimated to contain two thirds of the world’s biodiversity, face existential threats due to illegal logging and land conversion. Efforts to combat illegal logging and to support sustainable value chains are hampered by a critical lack of
Externí odkaz:
https://doaj.org/article/9819648bb8e94bdcbd1ee570ed69a0fb
Publikováno v:
Plant Methods, Vol 14, Iss 1, Pp 1-10 (2018)
Abstract Background The current state-of-the-art for field wood identification to combat illegal logging relies on experienced practitioners using hand lenses, specialized identification keys, atlases of woods, and field manuals. Accumulation of this
Externí odkaz:
https://doaj.org/article/dbc8b68aa2f640fcbb45fea33ed7c93d
Autor:
Shoujia Liu, Tuo He, Jiajun Wang, Jiabao Chen, Juan Guo, Xiaomei Jiang, Alex C. Wiedenhoeft, Yafang Yin
Publikováno v:
Wood Science and Technology. 56:1567-1583
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2a816755894bc280426cee30006950f7
https://doi.org/10.1007/s00226-022-01404-y
https://doi.org/10.1007/s00226-022-01404-y
Publikováno v:
Canadian Journal of Forest Research. 52:1014-1027
Wood identification is vitally important for ensuring the legality of North American hardwood value chains. Computer vision wood identification (CVWID) systems can identify wood without necessitating costly and time-consuming off-site visual inspecti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7cb1f84dca7637f9430124d936cf185c
https://doi.org/10.1139/cjfr-2022-0077
https://doi.org/10.1139/cjfr-2022-0077