The XyloTron: Flexible, Open-Source, Image-Based Macroscopic Field Identification of Wood Products
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.3389/fpls.2020.01015 http://hdl.handle.net/11449/195564 |
Resumo: | 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 affordable and scalable technologies for field-level inspection of wood and wood products. To meet this need we present the XyloTron, a complete, self-contained, multi-illumination, field-deployable, open-source platform for field imaging and identification of forest products at the macroscopic scale. The XyloTron platform integrates an imaging system built with off-the-shelf components, flexible illumination options with visible and UV light sources, software for camera control, and deep learning models for identification. We demonstrate the capabilities of the XyloTron platform with example applications for automatic wood and charcoal identification using visible light and human-mediated wood identification based on ultra-violet illumination and discuss applications in field imaging, metrology, and material characterization of other substrates. |
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Repositório Institucional da UNESP |
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The XyloTron: Flexible, Open-Source, Image-Based Macroscopic Field Identification of Wood Productswood identificationcharcoal identificationconvolutional neural networksdeep learningsustainabilityforest productscomputer visionForests, 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 affordable and scalable technologies for field-level inspection of wood and wood products. To meet this need we present the XyloTron, a complete, self-contained, multi-illumination, field-deployable, open-source platform for field imaging and identification of forest products at the macroscopic scale. The XyloTron platform integrates an imaging system built with off-the-shelf components, flexible illumination options with visible and UV light sources, software for camera control, and deep learning models for identification. We demonstrate the capabilities of the XyloTron platform with example applications for automatic wood and charcoal identification using visible light and human-mediated wood identification based on ultra-violet illumination and discuss applications in field imaging, metrology, and material characterization of other substrates.US Department of StateForest Stewardship CouncilWisconsin Idea Baldwin GrantUSDA, Ctr Wood Anat Res, Forest Prod Lab, Madison, WI 53726 USAUniv Wisconsin, Dept Bot, Madison, WI 53705 USAUniv Wisconsin, Dept Chem, 1101 Univ Ave, Madison, WI 53706 USAPurdue Univ, Dept Forestry & Nat Resources, W Lafayette, IN 47907 USAUniv Estadual Paulista, Dept Ciencias Biol Bot, Botucatu, SP, BrazilUniv Estadual Paulista, Dept Ciencias Biol Bot, Botucatu, SP, BrazilUS Department of State: 19318814Y0010Frontiers Media SaUSDAUniv WisconsinPurdue UnivUniversidade Estadual Paulista (Unesp)Ravindran, PrabuThompson, Blaise J.Soares, Richard K.Wiedenhoeft, Alex C.2020-12-10T17:38:53Z2020-12-10T17:38:53Z2020-07-10info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article8http://dx.doi.org/10.3389/fpls.2020.01015Frontiers In Plant Science. Lausanne: Frontiers Media Sa, v. 11, 8 p., 2020.1664-462Xhttp://hdl.handle.net/11449/19556410.3389/fpls.2020.01015WOS:000555887100001Web of Sciencereponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengFrontiers In Plant Scienceinfo:eu-repo/semantics/openAccess2021-10-23T09:48:48Zoai:repositorio.unesp.br:11449/195564Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462021-10-23T09:48:48Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
The XyloTron: Flexible, Open-Source, Image-Based Macroscopic Field Identification of Wood Products |
title |
The XyloTron: Flexible, Open-Source, Image-Based Macroscopic Field Identification of Wood Products |
spellingShingle |
The XyloTron: Flexible, Open-Source, Image-Based Macroscopic Field Identification of Wood Products Ravindran, Prabu wood identification charcoal identification convolutional neural networks deep learning sustainability forest products computer vision |
title_short |
The XyloTron: Flexible, Open-Source, Image-Based Macroscopic Field Identification of Wood Products |
title_full |
The XyloTron: Flexible, Open-Source, Image-Based Macroscopic Field Identification of Wood Products |
title_fullStr |
The XyloTron: Flexible, Open-Source, Image-Based Macroscopic Field Identification of Wood Products |
title_full_unstemmed |
The XyloTron: Flexible, Open-Source, Image-Based Macroscopic Field Identification of Wood Products |
title_sort |
The XyloTron: Flexible, Open-Source, Image-Based Macroscopic Field Identification of Wood Products |
author |
Ravindran, Prabu |
author_facet |
Ravindran, Prabu Thompson, Blaise J. Soares, Richard K. Wiedenhoeft, Alex C. |
author_role |
author |
author2 |
Thompson, Blaise J. Soares, Richard K. Wiedenhoeft, Alex C. |
author2_role |
author author author |
dc.contributor.none.fl_str_mv |
USDA Univ Wisconsin Purdue Univ Universidade Estadual Paulista (Unesp) |
dc.contributor.author.fl_str_mv |
Ravindran, Prabu Thompson, Blaise J. Soares, Richard K. Wiedenhoeft, Alex C. |
dc.subject.por.fl_str_mv |
wood identification charcoal identification convolutional neural networks deep learning sustainability forest products computer vision |
topic |
wood identification charcoal identification convolutional neural networks deep learning sustainability forest products computer vision |
description |
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 affordable and scalable technologies for field-level inspection of wood and wood products. To meet this need we present the XyloTron, a complete, self-contained, multi-illumination, field-deployable, open-source platform for field imaging and identification of forest products at the macroscopic scale. The XyloTron platform integrates an imaging system built with off-the-shelf components, flexible illumination options with visible and UV light sources, software for camera control, and deep learning models for identification. We demonstrate the capabilities of the XyloTron platform with example applications for automatic wood and charcoal identification using visible light and human-mediated wood identification based on ultra-violet illumination and discuss applications in field imaging, metrology, and material characterization of other substrates. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-12-10T17:38:53Z 2020-12-10T17:38:53Z 2020-07-10 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://dx.doi.org/10.3389/fpls.2020.01015 Frontiers In Plant Science. Lausanne: Frontiers Media Sa, v. 11, 8 p., 2020. 1664-462X http://hdl.handle.net/11449/195564 10.3389/fpls.2020.01015 WOS:000555887100001 |
url |
http://dx.doi.org/10.3389/fpls.2020.01015 http://hdl.handle.net/11449/195564 |
identifier_str_mv |
Frontiers In Plant Science. Lausanne: Frontiers Media Sa, v. 11, 8 p., 2020. 1664-462X 10.3389/fpls.2020.01015 WOS:000555887100001 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Frontiers In Plant Science |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
8 |
dc.publisher.none.fl_str_mv |
Frontiers Media Sa |
publisher.none.fl_str_mv |
Frontiers Media Sa |
dc.source.none.fl_str_mv |
Web of Science reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
|
_version_ |
1803047454559436800 |