An IoT Architecture as a means of Optimizing Downy and Powdery Mildew Diseases Recognition in Portuguese Vineyards

Detalhes bibliográficos
Autor(a) principal: Gomes, Bruno Pedrosa
Data de Publicação: 2021
Tipo de documento: Dissertação
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/127017
Resumo: Dissertation presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Information Systems and Technologies Management
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spelling An IoT Architecture as a means of Optimizing Downy and Powdery Mildew Diseases Recognition in Portuguese VineyardsInternet Of ThingsVineyardsIT ArchitecturesDisease RecognitionIoT DevicesDissertation presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Information Systems and Technologies ManagementThe agriculture is a livelihood of an expressively number of people and companies in Portugal, and before covid time surpassed 1.000 Million EUR, so it is an important portion and should be, at least, maintained. A part of this agricultural production is destinated to produce wine, that itself a part of the Portuguese culture, and to help the vineyards health increase this work aims to understand the grape-fruit diseases, his types, and mainly how can be detected as early as possible. A reliable way to disease detection can facilitate treatment and possible cure of the vine, through proper management strategies and can improve productivity. This research aims to propose a new architecture thar can provides a better solution for this disease identification. The proposed architecture is supported on the Internet of Things sensors technologies, that works 24/7 and, nowadays, are not expensive and bring another protection to the vineyards.Santos, Vitor Manuel Pereira Duarte dosRUNGomes, Bruno Pedrosa2021-11-02T14:13:17Z2021-10-262021-10-26T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10362/127017TID:202783499enginfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-05-22T17:56:54Zoai:run.unl.pt:10362/127017Portal AgregadorONGhttps://www.rcaap.pt/oai/openairemluisa.alvim@gmail.comopendoar:71602024-05-22T17:56:54Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv An IoT Architecture as a means of Optimizing Downy and Powdery Mildew Diseases Recognition in Portuguese Vineyards
title An IoT Architecture as a means of Optimizing Downy and Powdery Mildew Diseases Recognition in Portuguese Vineyards
spellingShingle An IoT Architecture as a means of Optimizing Downy and Powdery Mildew Diseases Recognition in Portuguese Vineyards
Gomes, Bruno Pedrosa
Internet Of Things
Vineyards
IT Architectures
Disease Recognition
IoT Devices
title_short An IoT Architecture as a means of Optimizing Downy and Powdery Mildew Diseases Recognition in Portuguese Vineyards
title_full An IoT Architecture as a means of Optimizing Downy and Powdery Mildew Diseases Recognition in Portuguese Vineyards
title_fullStr An IoT Architecture as a means of Optimizing Downy and Powdery Mildew Diseases Recognition in Portuguese Vineyards
title_full_unstemmed An IoT Architecture as a means of Optimizing Downy and Powdery Mildew Diseases Recognition in Portuguese Vineyards
title_sort An IoT Architecture as a means of Optimizing Downy and Powdery Mildew Diseases Recognition in Portuguese Vineyards
author Gomes, Bruno Pedrosa
author_facet Gomes, Bruno Pedrosa
author_role author
dc.contributor.none.fl_str_mv Santos, Vitor Manuel Pereira Duarte dos
RUN
dc.contributor.author.fl_str_mv Gomes, Bruno Pedrosa
dc.subject.por.fl_str_mv Internet Of Things
Vineyards
IT Architectures
Disease Recognition
IoT Devices
topic Internet Of Things
Vineyards
IT Architectures
Disease Recognition
IoT Devices
description Dissertation presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Information Systems and Technologies Management
publishDate 2021
dc.date.none.fl_str_mv 2021-11-02T14:13:17Z
2021-10-26
2021-10-26T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/masterThesis
format masterThesis
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10362/127017
TID:202783499
url http://hdl.handle.net/10362/127017
identifier_str_mv TID:202783499
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
repository.mail.fl_str_mv mluisa.alvim@gmail.com
_version_ 1817545827544989696

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