Zobrazeno 1 - 10
of 33
pro vyhledávání: '"Prabu Ravindran"'
Publikováno v:
BioResources, Vol 19, Iss 4, Pp 9741-9772 (2024)
Prior work on computer-vision wood identification (CVWID) for North American hardwoods yielded two independent deep learning models – a 22-class model for diffuse-porous woods and a 17-class model for ring-porous woods – but did not address semi-
Externí odkaz:
https://doaj.org/article/1225d8d6990746a9bc7a77b6b9f8f1a9
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:
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
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:
Ittai Herrmann, Steven K. Vosberg, Prabu Ravindran, Aditya Singh, Hao-Xun Chang, Martin I. Chilvers, Shawn P. Conley, Philip A. Townsend
Publikováno v:
Remote Sensing, Vol 10, Iss 3, p 426 (2018)
Pre-visual detection of crop disease is critical for food security. Field-based spectroscopic remote sensing offers a method to enable timely detection, but still requires appropriate instrumentation and testing. Soybean plants were spectrally measur
Externí odkaz:
https://doaj.org/article/496d1052963c4d0086bc36cb3934ca3d
Publikováno v:
Iranian Polymer Journal. 32:239-249
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f6f1b3c329a909b009f8fd57b612e8b5
https://doi.org/10.1007/s13726-022-01122-z
https://doi.org/10.1007/s13726-022-01122-z
Publikováno v:
Polymer Korea. 46:470-475
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9a42b4e186693519ab607a7247f008ce
https://doi.org/10.7317/pk.2022.46.4.470
https://doi.org/10.7317/pk.2022.46.4.470
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