Detection of Vegetation Using Unmanned Aerial Vehicles Images: A Systematic Review

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.
Detalles Bibliográficos
Autores: Ponce-Corona, Enrique, Guadalupe Sánchez, María, Fajardo-Delgado, Daniel, Castro, Wilson, De-la-Torre, Miguel, Avila-George, Himer
Formato: objeto de conferencia
Fecha de Publicación:2020
Institución:Universidad Privada del Norte
Repositorio:UPN-Institucional
Lenguaje:inglés
OAI Identifier:oai:repositorio.upn.edu.pe:11537/26895
Enlace del recurso:https://hdl.handle.net/11537/26895
https://doi.org/10.1109/CIMPS49236.2019.9082434
Nivel de acceso:acceso abierto
Materia:Cultivos
Procesamiento de imágenes
Agricultura
Planificación urbana
Planificación rural
https://purl.org/pe-repo/ocde/ford#2.11.04
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dc.title.es_PE.fl_str_mv Detection of Vegetation Using Unmanned Aerial Vehicles Images: A Systematic Review
title Detection of Vegetation Using Unmanned Aerial Vehicles Images: A Systematic Review
spellingShingle Detection of Vegetation Using Unmanned Aerial Vehicles Images: A Systematic Review
Ponce-Corona, Enrique
Cultivos
Procesamiento de imágenes
Agricultura
Planificación urbana
Planificación rural
https://purl.org/pe-repo/ocde/ford#2.11.04
title_short Detection of Vegetation Using Unmanned Aerial Vehicles Images: A Systematic Review
title_full Detection of Vegetation Using Unmanned Aerial Vehicles Images: A Systematic Review
title_fullStr Detection of Vegetation Using Unmanned Aerial Vehicles Images: A Systematic Review
title_full_unstemmed Detection of Vegetation Using Unmanned Aerial Vehicles Images: A Systematic Review
title_sort Detection of Vegetation Using Unmanned Aerial Vehicles Images: A Systematic Review
author Ponce-Corona, Enrique
author_facet Ponce-Corona, Enrique
Guadalupe Sánchez, María
Fajardo-Delgado, Daniel
Castro, Wilson
De-la-Torre, Miguel
Avila-George, Himer
author_role author
author2 Guadalupe Sánchez, María
Fajardo-Delgado, Daniel
Castro, Wilson
De-la-Torre, Miguel
Avila-George, Himer
author2_role author
author
author
author
author
dc.contributor.author.fl_str_mv Ponce-Corona, Enrique
Guadalupe Sánchez, María
Fajardo-Delgado, Daniel
Castro, Wilson
De-la-Torre, Miguel
Avila-George, Himer
dc.subject.es_PE.fl_str_mv Cultivos
Procesamiento de imágenes
Agricultura
Planificación urbana
Planificación rural
topic Cultivos
Procesamiento de imágenes
Agricultura
Planificación urbana
Planificación rural
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 2021-06-21T04:16:01Z
dc.date.available.none.fl_str_mv 2021-06-21T04:16:01Z
dc.date.issued.fl_str_mv 2020-04-30
dc.type.es_PE.fl_str_mv info:eu-repo/semantics/conferenceObject
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dc.identifier.citation.es_PE.fl_str_mv Ponce, E. ...[et al]. (2020). Detection of Vegetation Using Unmanned Aerial Vehicles Images: A Systematic Review. 8th International Conference On Software Process Improvement (CIMPS), 1-7. https://doi.org/10.1109/CIMPS49236.2019.9082434
dc.identifier.uri.none.fl_str_mv https://hdl.handle.net/11537/26895
dc.identifier.journal.es_PE.fl_str_mv 8th International Conference On Software Process Improvement (CIMPS)
dc.identifier.doi.none.fl_str_mv https://doi.org/10.1109/CIMPS49236.2019.9082434
identifier_str_mv Ponce, E. ...[et al]. (2020). Detection of Vegetation Using Unmanned Aerial Vehicles Images: A Systematic Review. 8th International Conference On Software Process Improvement (CIMPS), 1-7. https://doi.org/10.1109/CIMPS49236.2019.9082434
8th International Conference On Software Process Improvement (CIMPS)
url https://hdl.handle.net/11537/26895
https://doi.org/10.1109/CIMPS49236.2019.9082434
dc.language.iso.es_PE.fl_str_mv eng
language eng
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 MX
dc.source.es_PE.fl_str_mv Universidad Privada del Norte
Repositorio Institucional - UPN
dc.source.none.fl_str_mv reponame:UPN-Institucional
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instname_str Universidad Privada del Norte
instacron_str UPN
institution UPN
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spelling Ponce-Corona, EnriqueGuadalupe Sánchez, MaríaFajardo-Delgado, DanielCastro, WilsonDe-la-Torre, MiguelAvila-George, Himer2021-06-21T04:16:01Z2021-06-21T04:16:01Z2020-04-30Ponce, E. ...[et al]. (2020). Detection of Vegetation Using Unmanned Aerial Vehicles Images: A Systematic Review. 8th International Conference On Software Process Improvement (CIMPS), 1-7. https://doi.org/10.1109/CIMPS49236.2019.9082434https://hdl.handle.net/11537/268958th International Conference On Software Process Improvement (CIMPS)https://doi.org/10.1109/CIMPS49236.2019.9082434El texto completo de este trabajo no está disponible en el Repositorio Académico UPN por restricciones de la casa editorial donde ha sido publicado.ABSTRACT In recent years, the use of unmanned aerial vehicles for the development of agricultural and forestry applications has become popular. Given the importance of plants in both rural and urban environments, the extraction of information from data obtained by remote sensing is a highly relevant area of research. Such information is vital in urban and rural planning activities, the establishment of sustainable ecological niches, estimation of crop yields, the realization of forest inventories, the supervision of agricultural management systems, and some other agricultural applications. In this paper, we present a systematic review of the literature regarding the use of unmanned aerial vehicles in applications related to the detection of vegetation and plants inventory. Likewise, an analysis of the software used and the main computational and statistical techniques for the processing of images taken from unmanned aerial vehicles is made.Revisión por paresCajamarcaapplication/pdfengIEEEMXinfo: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:UPNCultivosProcesamiento de imágenesAgriculturaPlanificación urbanaPlanificación ruralhttps://purl.org/pe-repo/ocde/ford#2.11.04Detection of Vegetation Using Unmanned Aerial Vehicles Images: A Systematic Reviewinfo:eu-repo/semantics/conferenceObjectCC-LICENSElicense_rdflicense_rdfapplication/rdf+xml; charset=utf-81037https://repositorio.upn.edu.pe/bitstream/11537/26895/1/license_rdf80294ba9ff4c5b4f07812ee200fbc42fMD51LICENSElicense.txtlicense.txttext/plain; charset=utf-81748https://repositorio.upn.edu.pe/bitstream/11537/26895/2/license.txt8a4605be74aa9ea9d79846c1fba20a33MD5211537/26895oai:repositorio.upn.edu.pe:11537/268952021-06-20 23:16:06.629Repositorio Institucional UPNjordan.rivero@upn.edu.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Detection of Vegetation Using Unmanned Aerial Vehicles Images: A Systematic Review
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