Terahertz Time-domain Spectroscopy (THz-TDS) for classification of blueberries according to their maturity
Descripción del Articulo
El texto completo de este trabajo no está disponible en el Repositorio Académico UPN por restricciones de la casa editorial donde ha sido publicado.
Autor: | |
---|---|
Formato: | objeto de conferencia |
Fecha de Publicación: | 2020 |
Institución: | Universidad Privada del Norte |
Repositorio: | UPN-Institucional |
Lenguaje: | español |
OAI Identifier: | oai:repositorio.upn.edu.pe:11537/26898 |
Enlace del recurso: | https://hdl.handle.net/11537/26898 https://doi.org/10.1109/EIRCON51178.2020.9254046 |
Nivel de acceso: | acceso abierto |
Materia: | Frutas Clasificación Productos agrícolas https://purl.org/pe-repo/ocde/ford#2.11.04 |
id |
UUPN_b32a35b75322d2cd8f453cd6f88b6e3d |
---|---|
oai_identifier_str |
oai:repositorio.upn.edu.pe:11537/26898 |
network_acronym_str |
UUPN |
network_name_str |
UPN-Institucional |
repository_id_str |
1873 |
dc.title.es_PE.fl_str_mv |
Terahertz Time-domain Spectroscopy (THz-TDS) for classification of blueberries according to their maturity |
title |
Terahertz Time-domain Spectroscopy (THz-TDS) for classification of blueberries according to their maturity |
spellingShingle |
Terahertz Time-domain Spectroscopy (THz-TDS) for classification of blueberries according to their maturity Oblitas Cruz, Jimy Frutas Clasificación Productos agrícolas https://purl.org/pe-repo/ocde/ford#2.11.04 |
title_short |
Terahertz Time-domain Spectroscopy (THz-TDS) for classification of blueberries according to their maturity |
title_full |
Terahertz Time-domain Spectroscopy (THz-TDS) for classification of blueberries according to their maturity |
title_fullStr |
Terahertz Time-domain Spectroscopy (THz-TDS) for classification of blueberries according to their maturity |
title_full_unstemmed |
Terahertz Time-domain Spectroscopy (THz-TDS) for classification of blueberries according to their maturity |
title_sort |
Terahertz Time-domain Spectroscopy (THz-TDS) for classification of blueberries according to their maturity |
author |
Oblitas Cruz, Jimy |
author_facet |
Oblitas Cruz, Jimy |
author_role |
author |
dc.contributor.author.fl_str_mv |
Oblitas Cruz, Jimy |
dc.subject.es_PE.fl_str_mv |
Frutas Clasificación Productos agrícolas |
topic |
Frutas Clasificación Productos agrícolas https://purl.org/pe-repo/ocde/ford#2.11.04 |
dc.subject.ocde.es_PE.fl_str_mv |
https://purl.org/pe-repo/ocde/ford#2.11.04 |
description |
El texto completo de este trabajo no está disponible en el Repositorio Académico UPN por restricciones de la casa editorial donde ha sido publicado. |
publishDate |
2020 |
dc.date.accessioned.none.fl_str_mv |
2021-06-21T05:08:51Z |
dc.date.available.none.fl_str_mv |
2021-06-21T05:08:51Z |
dc.date.issued.fl_str_mv |
2020-11-18 |
dc.type.es_PE.fl_str_mv |
info:eu-repo/semantics/conferenceObject |
format |
conferenceObject |
dc.identifier.citation.es_PE.fl_str_mv |
Oblitas, J. (2020). Terahertz Time-domain Spectroscopy (THz-TDS) for classification of blueberries according to their maturity. IEEE Engineering International Research Conference (EIRCON), 1-4. https://doi.org/10.1109/EIRCON51178.2020.9254046 |
dc.identifier.uri.none.fl_str_mv |
https://hdl.handle.net/11537/26898 |
dc.identifier.journal.es_PE.fl_str_mv |
IEEE Engineering International Research Conference (EIRCON) |
dc.identifier.doi.none.fl_str_mv |
https://doi.org/10.1109/EIRCON51178.2020.9254046 |
identifier_str_mv |
Oblitas, J. (2020). Terahertz Time-domain Spectroscopy (THz-TDS) for classification of blueberries according to their maturity. IEEE Engineering International Research Conference (EIRCON), 1-4. https://doi.org/10.1109/EIRCON51178.2020.9254046 IEEE Engineering International Research Conference (EIRCON) |
url |
https://hdl.handle.net/11537/26898 https://doi.org/10.1109/EIRCON51178.2020.9254046 |
dc.language.iso.es_PE.fl_str_mv |
spa |
language |
spa |
dc.rights.es_PE.fl_str_mv |
info:eu-repo/semantics/openAccess |
dc.rights.*.fl_str_mv |
Atribución-NoComercial-CompartirIgual 3.0 Estados Unidos de América |
dc.rights.uri.*.fl_str_mv |
https://creativecommons.org/licenses/by-nc-sa/3.0/us/ |
eu_rights_str_mv |
openAccess |
rights_invalid_str_mv |
Atribución-NoComercial-CompartirIgual 3.0 Estados Unidos de América https://creativecommons.org/licenses/by-nc-sa/3.0/us/ |
dc.format.es_PE.fl_str_mv |
application/pdf |
dc.publisher.es_PE.fl_str_mv |
IEEE |
dc.publisher.country.es_PE.fl_str_mv |
PE |
dc.source.es_PE.fl_str_mv |
Universidad Privada del Norte Repositorio Institucional - UPN |
dc.source.none.fl_str_mv |
reponame:UPN-Institucional instname:Universidad Privada del Norte instacron:UPN |
instname_str |
Universidad Privada del Norte |
instacron_str |
UPN |
institution |
UPN |
reponame_str |
UPN-Institucional |
collection |
UPN-Institucional |
bitstream.url.fl_str_mv |
https://repositorio.upn.edu.pe/bitstream/11537/26898/1/license_rdf https://repositorio.upn.edu.pe/bitstream/11537/26898/2/license.txt |
bitstream.checksum.fl_str_mv |
80294ba9ff4c5b4f07812ee200fbc42f 8a4605be74aa9ea9d79846c1fba20a33 |
bitstream.checksumAlgorithm.fl_str_mv |
MD5 MD5 |
repository.name.fl_str_mv |
Repositorio Institucional UPN |
repository.mail.fl_str_mv |
jordan.rivero@upn.edu.pe |
_version_ |
1752944313720897536 |
spelling |
Oblitas Cruz, Jimy2021-06-21T05:08:51Z2021-06-21T05:08:51Z2020-11-18Oblitas, J. (2020). Terahertz Time-domain Spectroscopy (THz-TDS) for classification of blueberries according to their maturity. IEEE Engineering International Research Conference (EIRCON), 1-4. https://doi.org/10.1109/EIRCON51178.2020.9254046https://hdl.handle.net/11537/26898IEEE Engineering International Research Conference (EIRCON)https://doi.org/10.1109/EIRCON51178.2020.9254046El texto completo de este trabajo no está disponible en el Repositorio Académico UPN por restricciones de la casa editorial donde ha sido publicado.ABSTRACT Non-destructive determination of blueberry compound using spectral detection method is still a challenge due to the spectral THZ variation caused by abundant biological variations, such as geographic origins and harvest seasons. In order to investigate the potential of Terahertz time-domain spectroscopy to classify fruit maturity states, terahertz spectra (0.5-10 THz) of 4 states of blueberry maturity were examined. The acquired data matrices were submitted to the application of MATLAB 2019b Classification Learner by using 24 classifier models. 84.3 is the highest accuracy, obtained by the Fine Gaussian SVM Algorithm Model with a 0.35 Kernel Scale and a Multiclass Method One vs One. The coefficients for this application of PCA are PC1 (79.9%) and PC2 (20.1%). It was concluded that the combined processing and classification of images obtained from Terahertz time-domain spectroscopy and using Machine learning algorithms can be used to classify the different maturity states of blueberries.Revisión por paresCajamarcaapplication/pdfspaIEEEPEinfo:eu-repo/semantics/openAccessAtribución-NoComercial-CompartirIgual 3.0 Estados Unidos de Américahttps://creativecommons.org/licenses/by-nc-sa/3.0/us/Universidad Privada del NorteRepositorio Institucional - UPNreponame:UPN-Institucionalinstname:Universidad Privada del Norteinstacron:UPNFrutasClasificaciónProductos agrícolashttps://purl.org/pe-repo/ocde/ford#2.11.04Terahertz Time-domain Spectroscopy (THz-TDS) for classification of blueberries according to their maturityinfo:eu-repo/semantics/conferenceObjectCC-LICENSElicense_rdflicense_rdfapplication/rdf+xml; charset=utf-81037https://repositorio.upn.edu.pe/bitstream/11537/26898/1/license_rdf80294ba9ff4c5b4f07812ee200fbc42fMD51LICENSElicense.txtlicense.txttext/plain; charset=utf-81748https://repositorio.upn.edu.pe/bitstream/11537/26898/2/license.txt8a4605be74aa9ea9d79846c1fba20a33MD5211537/26898oai:repositorio.upn.edu.pe:11537/268982021-06-21 00:08:56.545Repositorio Institucional UPNjordan.rivero@upn.edu.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 |
score |
13.949927 |
Nota importante:
La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).
La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).