Software for automated reading of sunshine duration by Digital Image Processing

Registro completo de metadados
MetadadosDescriçãoIdioma
Autor(es): dc.contributorUniversidade Estadual Paulista (Unesp)-
Autor(es): dc.contributorUniv Pedag Mocambique-
Autor(es): dc.contributorFac Tecnol Botucatu-
Autor(es): dc.creatorRaniero, M. R. [UNESP]-
Autor(es): dc.creatorCalca, M. V. C. [UNESP]-
Autor(es): dc.creatorFernando, D. M. Z.-
Autor(es): dc.creatorAlmeida, O. C. P. de-
Autor(es): dc.creatorDal Pai, A. [UNESP]-
Data de aceite: dc.date.accessioned2022-02-22T00:55:55Z-
Data de disponibilização: dc.date.available2022-02-22T00:55:55Z-
Data de envio: dc.date.issued2021-06-25-
Data de envio: dc.date.issued2021-06-25-
Data de envio: dc.date.issued2020-09-01-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.1109/TLA.2020.9381802-
Fonte completa do material: dc.identifierhttp://hdl.handle.net/11449/209287-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/209287-
Descrição: dc.descriptionThe present study aims to demonstrate the benefits and results obtained from software for filtering, processing and managing sunshine duration monitored by heliographs, in meteorological stations. The source code of the software was developed using the Java EE 7 (Java Enterprise Edition) programming language, based on internet applications. Information storage and management was performed by the MySQL 5.7 Database Management System (DBMS). Digital image processing techniques, incorporated in the software, allowed to count sunshine duration in an automated and standardized way, eliminating errors due to the complexity and subjectivity in the measurement observation, performed manually. Processing routines were implemented to apply filters in the spatial domain, enhancing digital images of sunshine data, to better identify parts of interest and ensure quality in the accounting process. For software validation, a set of September 2015 sunshine data, provided by the Lageado Meteorological Station of the School of Agricultural Sciences (UNESP) of Botucatu - SP, was used. In which, comparisons between readings performed by the computer program and readings performed manually showed MBE values of 0.130 hours (rMBE = 1.908%), RMSE of 0.259 hours (rRMSE = 3.791%) and R of 0.998. Indicating that the software can be used to read sunshine data, as it ensures automation, standardization and speed in the process.-
Descrição: dc.descriptionUniv Estadual Paulista, Fac Ciencias Agron, Botucatu, SP, Brazil-
Descrição: dc.descriptionUniv Pedag Mocambique, Fac Ciencias Nat & Matemat, Chimoio, Manica, Mozambique-
Descrição: dc.descriptionFac Tecnol Botucatu, Botucatu, SP, Brazil-
Descrição: dc.descriptionUniv Estadual Paulista, Fac Ciencias Agron, Botucatu, SP, Brazil-
Formato: dc.format1599-1605-
Idioma: dc.languageen-
Publicador: dc.publisherIeee-inst Electrical Electronics Engineers Inc-
Relação: dc.relationIeee Latin America Transactions-
???dc.source???: dc.sourceWeb of Science-
Palavras-chave: dc.subjectSoftware-
Palavras-chave: dc.subjectJava-
Palavras-chave: dc.subjectInstruments-
Palavras-chave: dc.subjectManuals-
Palavras-chave: dc.subjectIEEE transactions-
Palavras-chave: dc.subjectDigital images-
Palavras-chave: dc.subjectVisualization-
Palavras-chave: dc.subjectDigital Image Processing-
Palavras-chave: dc.subjectsunshine hours counting-
Palavras-chave: dc.subjectsolar radiation-
Título: dc.titleSoftware for automated reading of sunshine duration by Digital Image Processing-
Tipo de arquivo: dc.typelivro digital-
Aparece nas coleções:Repositório Institucional - Unesp

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