Leds used as spectral selective light detectors in remote sensing techniques

Autores
Weber, Christian; Tocho, Jorge Omar; Rodríguez, Edmundo J.; Acciaresi, Horacio Abel
Año de publicación
2011
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Remote sensing has been commonly considered as an effective technique in developing precision agriculture tools. Ground based and satellite spectral sensors have wide uses to retrieve remotely quantitative biophysical and biochemical characteristics of vegetation canopies as well as vegetation ground cover. Usually in-field remote sensing technologies use either a combination of interferential filters and photodiodes or different compact spectrometers to separate the spectral regions of interest. In this paper we present a new development of a sensor with LEDs used as spectrally selective photodetectors. Its performance was compared with a photodiode-filter sensor used in agronomic applications. Subsequent measurements of weed cover degree were performed and compared with other methodologies. Results show that the new LEDs based sensor has similar features that conventional ones to determining the weed soil cover degree; while LEDs based sensor has comparative advantages related its very low manufacturing cost and its robustness compatible with agricultural field applications.
Facultad de Ciencias Agrarias y Forestales
Centro de Investigaciones Ópticas
Materia
Física
photometers
radiometry
Remote sensing
weeds detection
Fotometría
Radiometría
Sensores Remotos
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-sa/4.0/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/84307
Acceder
id SEDICI_04b38aee012065f0fe140456405c689e
oai_identifier_str oai:sedici.unlp.edu.ar:10915/84307
network_acronym_str SEDICI
repository_id_str 1329
network_name_str SEDICI (UNLP)
spelling Leds used as spectral selective light detectors in remote sensing techniquesWeber, ChristianTocho, Jorge OmarRodríguez, Edmundo J.Acciaresi, Horacio AbelFísicaphotometersradiometryRemote sensingweeds detectionFotometríaRadiometríaSensores RemotosRemote sensing has been commonly considered as an effective technique in developing precision agriculture tools. Ground based and satellite spectral sensors have wide uses to retrieve remotely quantitative biophysical and biochemical characteristics of vegetation canopies as well as vegetation ground cover. Usually in-field remote sensing technologies use either a combination of interferential filters and photodiodes or different compact spectrometers to separate the spectral regions of interest. In this paper we present a new development of a sensor with LEDs used as spectrally selective photodetectors. Its performance was compared with a photodiode-filter sensor used in agronomic applications. Subsequent measurements of weed cover degree were performed and compared with other methodologies. Results show that the new LEDs based sensor has similar features that conventional ones to determining the weed soil cover degree; while LEDs based sensor has comparative advantages related its very low manufacturing cost and its robustness compatible with agricultural field applications.Facultad de Ciencias Agrarias y ForestalesCentro de Investigaciones Ópticas2011-02info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionArticulohttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfhttp://sedici.unlp.edu.ar/handle/10915/84307enginfo:eu-repo/semantics/altIdentifier/issn/1742-6588info:eu-repo/semantics/altIdentifier/doi/10.1088/1742-6596/274/1/012103info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/4.0/Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-09-29T11:16:10Zoai:sedici.unlp.edu.ar:10915/84307Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-09-29 11:16:10.425SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv Leds used as spectral selective light detectors in remote sensing techniques
title Leds used as spectral selective light detectors in remote sensing techniques
spellingShingle Leds used as spectral selective light detectors in remote sensing techniques
Weber, Christian
Física
photometers
radiometry
Remote sensing
weeds detection
Fotometría
Radiometría
Sensores Remotos
title_short Leds used as spectral selective light detectors in remote sensing techniques
title_full Leds used as spectral selective light detectors in remote sensing techniques
title_fullStr Leds used as spectral selective light detectors in remote sensing techniques
title_full_unstemmed Leds used as spectral selective light detectors in remote sensing techniques
title_sort Leds used as spectral selective light detectors in remote sensing techniques
dc.creator.none.fl_str_mv Weber, Christian
Tocho, Jorge Omar
Rodríguez, Edmundo J.
Acciaresi, Horacio Abel
author Weber, Christian
author_facet Weber, Christian
Tocho, Jorge Omar
Rodríguez, Edmundo J.
Acciaresi, Horacio Abel
author_role author
author2 Tocho, Jorge Omar
Rodríguez, Edmundo J.
Acciaresi, Horacio Abel
author2_role author
author
author
dc.subject.none.fl_str_mv Física
photometers
radiometry
Remote sensing
weeds detection
Fotometría
Radiometría
Sensores Remotos
topic Física
photometers
radiometry
Remote sensing
weeds detection
Fotometría
Radiometría
Sensores Remotos
dc.description.none.fl_txt_mv Remote sensing has been commonly considered as an effective technique in developing precision agriculture tools. Ground based and satellite spectral sensors have wide uses to retrieve remotely quantitative biophysical and biochemical characteristics of vegetation canopies as well as vegetation ground cover. Usually in-field remote sensing technologies use either a combination of interferential filters and photodiodes or different compact spectrometers to separate the spectral regions of interest. In this paper we present a new development of a sensor with LEDs used as spectrally selective photodetectors. Its performance was compared with a photodiode-filter sensor used in agronomic applications. Subsequent measurements of weed cover degree were performed and compared with other methodologies. Results show that the new LEDs based sensor has similar features that conventional ones to determining the weed soil cover degree; while LEDs based sensor has comparative advantages related its very low manufacturing cost and its robustness compatible with agricultural field applications.
Facultad de Ciencias Agrarias y Forestales
Centro de Investigaciones Ópticas
description Remote sensing has been commonly considered as an effective technique in developing precision agriculture tools. Ground based and satellite spectral sensors have wide uses to retrieve remotely quantitative biophysical and biochemical characteristics of vegetation canopies as well as vegetation ground cover. Usually in-field remote sensing technologies use either a combination of interferential filters and photodiodes or different compact spectrometers to separate the spectral regions of interest. In this paper we present a new development of a sensor with LEDs used as spectrally selective photodetectors. Its performance was compared with a photodiode-filter sensor used in agronomic applications. Subsequent measurements of weed cover degree were performed and compared with other methodologies. Results show that the new LEDs based sensor has similar features that conventional ones to determining the weed soil cover degree; while LEDs based sensor has comparative advantages related its very low manufacturing cost and its robustness compatible with agricultural field applications.
publishDate 2011
dc.date.none.fl_str_mv 2011-02
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Articulo
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://sedici.unlp.edu.ar/handle/10915/84307
url http://sedici.unlp.edu.ar/handle/10915/84307
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/issn/1742-6588
info:eu-repo/semantics/altIdentifier/doi/10.1088/1742-6596/274/1/012103
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:SEDICI (UNLP)
instname:Universidad Nacional de La Plata
instacron:UNLP
reponame_str SEDICI (UNLP)
collection SEDICI (UNLP)
instname_str Universidad Nacional de La Plata
instacron_str UNLP
institution UNLP
repository.name.fl_str_mv SEDICI (UNLP) - Universidad Nacional de La Plata
repository.mail.fl_str_mv alira@sedici.unlp.edu.ar
_version_ 1844616034040938496
score 13.070432

Publicaciones similares