A novel method based on hybrid deep learning with explainability for olive fruit pest forecasting

Detalles Bibliográficos
Autores: Chacón Maldonado, Andrés Manuel|||0009-0000-4070-1344, Melgar García, Laura|||0000-0001-7609-0450, Asencio Cortés, Gualberto|||0000-0003-0874-1826, Troncoso Lora, Alicia|||0000-0002-9801-7999
Tipo de recurso: artículo
Fecha de publicación:2024
País:España
Institución:Universidad Politécnica de Madrid
Repositorio:Archivo Digital UPM
OAI Identifier:oai:dnet:archivodigit::16660c8f983cb8dcbf7f3c6fd119a185
Acceso en línea:https://oa.upm.es/96477/
Access Level:acceso abierto
Palabra clave:Agriculture
Auto encoders
Decisions makings
Deep learning
Explainable artificial intelligence
Feed forward neural net works
Fruitflies
Fruits
Learning models
Modern agricultures
Novel methods
Olive fruits
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oai_identifier_str oai:dnet:archivodigit::16660c8f983cb8dcbf7f3c6fd119a185
network_acronym_str ES
network_name_str España
repository_id_str
spelling A novel method based on hybrid deep learning with explainability for olive fruit pest forecastingChacón Maldonado, Andrés Manuel|||0009-0000-4070-1344Melgar García, Laura|||0000-0001-7609-0450Asencio Cortés, Gualberto|||0000-0003-0874-1826Troncoso Lora, Alicia|||0000-0002-9801-7999AgricultureAuto encodersDecisions makingsDeep learningExplainable artificial intelligenceFeed forward neural net worksFruitfliesFruitsLearning modelsModern agriculturesNovel methodsOlive fruits20242024-12-12journal articlehttp://purl.org/coar/resource_type/c_6501info:eu-repo/semantics/articlehttps://oa.upm.es/96477/reponame:Archivo Digital UPMinstname:Universidad Politécnica de MadridInglésenopen accesshttp://purl.org/coar/access_right/c_abf2info:eu-repo/semantics/openAccessoai:dnet:archivodigit::16660c8f983cb8dcbf7f3c6fd119a1852026-06-21T12:45:07Z
dc.title.none.fl_str_mv A novel method based on hybrid deep learning with explainability for olive fruit pest forecasting
title A novel method based on hybrid deep learning with explainability for olive fruit pest forecasting
spellingShingle A novel method based on hybrid deep learning with explainability for olive fruit pest forecasting
Chacón Maldonado, Andrés Manuel|||0009-0000-4070-1344
Agriculture
Auto encoders
Decisions makings
Deep learning
Explainable artificial intelligence
Feed forward neural net works
Fruitflies
Fruits
Learning models
Modern agricultures
Novel methods
Olive fruits
title_short A novel method based on hybrid deep learning with explainability for olive fruit pest forecasting
title_full A novel method based on hybrid deep learning with explainability for olive fruit pest forecasting
title_fullStr A novel method based on hybrid deep learning with explainability for olive fruit pest forecasting
title_full_unstemmed A novel method based on hybrid deep learning with explainability for olive fruit pest forecasting
title_sort A novel method based on hybrid deep learning with explainability for olive fruit pest forecasting
dc.creator.none.fl_str_mv Chacón Maldonado, Andrés Manuel|||0009-0000-4070-1344
Melgar García, Laura|||0000-0001-7609-0450
Asencio Cortés, Gualberto|||0000-0003-0874-1826
Troncoso Lora, Alicia|||0000-0002-9801-7999
author Chacón Maldonado, Andrés Manuel|||0009-0000-4070-1344
author_facet Chacón Maldonado, Andrés Manuel|||0009-0000-4070-1344
Melgar García, Laura|||0000-0001-7609-0450
Asencio Cortés, Gualberto|||0000-0003-0874-1826
Troncoso Lora, Alicia|||0000-0002-9801-7999
author_role author
author2 Melgar García, Laura|||0000-0001-7609-0450
Asencio Cortés, Gualberto|||0000-0003-0874-1826
Troncoso Lora, Alicia|||0000-0002-9801-7999
author2_role author
author
author
dc.subject.none.fl_str_mv Agriculture
Auto encoders
Decisions makings
Deep learning
Explainable artificial intelligence
Feed forward neural net works
Fruitflies
Fruits
Learning models
Modern agricultures
Novel methods
Olive fruits
topic Agriculture
Auto encoders
Decisions makings
Deep learning
Explainable artificial intelligence
Feed forward neural net works
Fruitflies
Fruits
Learning models
Modern agricultures
Novel methods
Olive fruits
publishDate 2024
dc.date.none.fl_str_mv 2024
2024-12-12
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://oa.upm.es/96477/
url https://oa.upm.es/96477/
dc.language.none.fl_str_mv Inglés
en
language_invalid_str_mv Inglés
en
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
eu_rights_str_mv openAccess
dc.source.none.fl_str_mv reponame:Archivo Digital UPM
instname:Universidad Politécnica de Madrid
instname_str Universidad Politécnica de Madrid
reponame_str Archivo Digital UPM
collection Archivo Digital UPM
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15.812429

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