Leaf Trait Hyperspectral Characterization of Castanea sativa Miller Affected by Dryocosmus kuriphilus Yasumatsu

[EN] While populations of the Asian chestnut gall wasp (Dryocosmus kuriphilus Yasumatsu), an invasive pest affecting the European chestnut (Castanea sativa Miller), have started to be controlled biologically, this pest still conditions chestnut tree development. With the aim of assessing plant healt...

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Autores: Pereira Obaya, Dimas, Castedo Dorado, Fernando, Sanz Ablanedo, Enoc, Mejía Correal, Karen Brigitte, Rodríguez Pérez, José Ramón
Formato: artículo
Estado:Versión publicada
Fecha de publicación:2023
País:España
Recursos:Universidad de León
Repositorio:BULERIA. Repositorio Institucional de la Universidad de León
OAI Identifier:oai:buleria.unileon.es:10612/17859
Acesso em linha:https://www.mdpi.com/2073-4395/13/3/923
https://hdl.handle.net/10612/17859
Access Level:acceso abierto
Palavra-chave:Ingenierías
Ingeniería agrícola
Ingeniería forestal
Asian chestnut gall wasp
European chestnut
Spectroscopy
PLS-DA
Random forest
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oai_identifier_str oai:buleria.unileon.es:10612/17859
network_acronym_str ES
network_name_str España
repository_id_str
spelling Leaf Trait Hyperspectral Characterization of Castanea sativa Miller Affected by Dryocosmus kuriphilus YasumatsuPereira Obaya, DimasCastedo Dorado, FernandoSanz Ablanedo, EnocMejía Correal, Karen BrigitteRodríguez Pérez, José RamónIngenieríasIngeniería agrícolaIngeniería forestalAsian chestnut gall waspEuropean chestnutSpectroscopyPLS-DARandom forest[EN] While populations of the Asian chestnut gall wasp (Dryocosmus kuriphilus Yasumatsu), an invasive pest affecting the European chestnut (Castanea sativa Miller), have started to be controlled biologically, this pest still conditions chestnut tree development. With the aim of assessing plant health status as a means of monitoring gall wasp infestation, we used a field spectroradiometer to collect data from leaves taken from 83 trees in two chestnut orchards. We calculated characteristic spectral signatures for pest infestation, and after training and validation, developed classifiers to distinguish between different infestation levels. Several partial least square discriminant analysis (PLS-DA) and random forest (RF) models were fitted with reflectance and transformed values to obtain characteristic curves reflecting infestation. Four wavelengths (560 nm, 680 nm, 1400 nm, and 1935 nm) were identified as showing the greatest differences between curves. The best overall accuracy (69.23%) was achieved by an RF model fitted with reflectance transformed values. Lower overall accuracy (26.92%) was achieved in distinguishing between infestation levels. In conclusion, while more specific differences in infestation levels were not detectable, our method successfully discriminated between gall absence and presence.SIMDPIIngenieria AgroforestalEscuela de Ingeniería Agraria y Forestal2023info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttps://www.mdpi.com/2073-4395/13/3/923https://hdl.handle.net/10612/17859reponame:BULERIA. Repositorio Institucional de la Universidad de Leóninstname:Universidad de LeónInglésinfo:eu-repo/semantics/openAccessoai:buleria.unileon.es:10612/178592026-06-24T12:43:27Z
dc.title.none.fl_str_mv Leaf Trait Hyperspectral Characterization of Castanea sativa Miller Affected by Dryocosmus kuriphilus Yasumatsu
title Leaf Trait Hyperspectral Characterization of Castanea sativa Miller Affected by Dryocosmus kuriphilus Yasumatsu
spellingShingle Leaf Trait Hyperspectral Characterization of Castanea sativa Miller Affected by Dryocosmus kuriphilus Yasumatsu
Pereira Obaya, Dimas
Ingenierías
Ingeniería agrícola
Ingeniería forestal
Asian chestnut gall wasp
European chestnut
Spectroscopy
PLS-DA
Random forest
title_short Leaf Trait Hyperspectral Characterization of Castanea sativa Miller Affected by Dryocosmus kuriphilus Yasumatsu
title_full Leaf Trait Hyperspectral Characterization of Castanea sativa Miller Affected by Dryocosmus kuriphilus Yasumatsu
title_fullStr Leaf Trait Hyperspectral Characterization of Castanea sativa Miller Affected by Dryocosmus kuriphilus Yasumatsu
title_full_unstemmed Leaf Trait Hyperspectral Characterization of Castanea sativa Miller Affected by Dryocosmus kuriphilus Yasumatsu
title_sort Leaf Trait Hyperspectral Characterization of Castanea sativa Miller Affected by Dryocosmus kuriphilus Yasumatsu
dc.creator.none.fl_str_mv Pereira Obaya, Dimas
Castedo Dorado, Fernando
Sanz Ablanedo, Enoc
Mejía Correal, Karen Brigitte
Rodríguez Pérez, José Ramón
author Pereira Obaya, Dimas
author_facet Pereira Obaya, Dimas
Castedo Dorado, Fernando
Sanz Ablanedo, Enoc
Mejía Correal, Karen Brigitte
Rodríguez Pérez, José Ramón
author_role author
author2 Castedo Dorado, Fernando
Sanz Ablanedo, Enoc
Mejía Correal, Karen Brigitte
Rodríguez Pérez, José Ramón
author2_role author
author
author
author
dc.contributor.none.fl_str_mv Ingenieria Agroforestal
Escuela de Ingeniería Agraria y Forestal
dc.subject.none.fl_str_mv Ingenierías
Ingeniería agrícola
Ingeniería forestal
Asian chestnut gall wasp
European chestnut
Spectroscopy
PLS-DA
Random forest
topic Ingenierías
Ingeniería agrícola
Ingeniería forestal
Asian chestnut gall wasp
European chestnut
Spectroscopy
PLS-DA
Random forest
description [EN] While populations of the Asian chestnut gall wasp (Dryocosmus kuriphilus Yasumatsu), an invasive pest affecting the European chestnut (Castanea sativa Miller), have started to be controlled biologically, this pest still conditions chestnut tree development. With the aim of assessing plant health status as a means of monitoring gall wasp infestation, we used a field spectroradiometer to collect data from leaves taken from 83 trees in two chestnut orchards. We calculated characteristic spectral signatures for pest infestation, and after training and validation, developed classifiers to distinguish between different infestation levels. Several partial least square discriminant analysis (PLS-DA) and random forest (RF) models were fitted with reflectance and transformed values to obtain characteristic curves reflecting infestation. Four wavelengths (560 nm, 680 nm, 1400 nm, and 1935 nm) were identified as showing the greatest differences between curves. The best overall accuracy (69.23%) was achieved by an RF model fitted with reflectance transformed values. Lower overall accuracy (26.92%) was achieved in distinguishing between infestation levels. In conclusion, while more specific differences in infestation levels were not detectable, our method successfully discriminated between gall absence and presence.
publishDate 2023
dc.date.none.fl_str_mv 2023
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv https://www.mdpi.com/2073-4395/13/3/923
https://hdl.handle.net/10612/17859
url https://www.mdpi.com/2073-4395/13/3/923
https://hdl.handle.net/10612/17859
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv MDPI
publisher.none.fl_str_mv MDPI
dc.source.none.fl_str_mv reponame:BULERIA. Repositorio Institucional de la Universidad de León
instname:Universidad de León
instname_str Universidad de León
reponame_str BULERIA. Repositorio Institucional de la Universidad de León
collection BULERIA. Repositorio Institucional de la Universidad de León
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,198674

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