Software for automated reading of sunshine duration by Digital Image Processing
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.1109/TLA.2020.9381802 http://hdl.handle.net/11449/209287 |
Resumo: | The 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. |
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Software for automated reading of sunshine duration by Digital Image ProcessingSoftwareJavaInstrumentsManualsIEEE transactionsDigital imagesVisualizationDigital Image Processingsunshine hours countingsolar radiationThe 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.Univ Estadual Paulista, Fac Ciencias Agron, Botucatu, SP, BrazilUniv Pedag Mocambique, Fac Ciencias Nat & Matemat, Chimoio, Manica, MozambiqueFac Tecnol Botucatu, Botucatu, SP, BrazilUniv Estadual Paulista, Fac Ciencias Agron, Botucatu, SP, BrazilIeee-inst Electrical Electronics Engineers IncUniversidade Estadual Paulista (Unesp)Univ Pedag MocambiqueFac Tecnol BotucatuRaniero, M. R. [UNESP]Calca, M. V. C. [UNESP]Fernando, D. M. Z.Almeida, O. C. P. deDal Pai, A. [UNESP]2021-06-25T11:55:11Z2021-06-25T11:55:11Z2020-09-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article1599-1605http://dx.doi.org/10.1109/TLA.2020.9381802Ieee Latin America Transactions. Piscataway: Ieee-inst Electrical Electronics Engineers Inc, v. 18, n. 09, p. 1599-1605, 2020.1548-0992http://hdl.handle.net/11449/20928710.1109/TLA.2020.9381802WOS:000633636900013Web of Sciencereponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengIeee Latin America Transactionsinfo:eu-repo/semantics/openAccess2021-10-23T19:23:41Zoai:repositorio.unesp.br:11449/209287Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T14:17:38.423627Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Software for automated reading of sunshine duration by Digital Image Processing |
title |
Software for automated reading of sunshine duration by Digital Image Processing |
spellingShingle |
Software for automated reading of sunshine duration by Digital Image Processing Raniero, M. R. [UNESP] Software Java Instruments Manuals IEEE transactions Digital images Visualization Digital Image Processing sunshine hours counting solar radiation |
title_short |
Software for automated reading of sunshine duration by Digital Image Processing |
title_full |
Software for automated reading of sunshine duration by Digital Image Processing |
title_fullStr |
Software for automated reading of sunshine duration by Digital Image Processing |
title_full_unstemmed |
Software for automated reading of sunshine duration by Digital Image Processing |
title_sort |
Software for automated reading of sunshine duration by Digital Image Processing |
author |
Raniero, M. R. [UNESP] |
author_facet |
Raniero, M. R. [UNESP] Calca, M. V. C. [UNESP] Fernando, D. M. Z. Almeida, O. C. P. de Dal Pai, A. [UNESP] |
author_role |
author |
author2 |
Calca, M. V. C. [UNESP] Fernando, D. M. Z. Almeida, O. C. P. de Dal Pai, A. [UNESP] |
author2_role |
author author author author |
dc.contributor.none.fl_str_mv |
Universidade Estadual Paulista (Unesp) Univ Pedag Mocambique Fac Tecnol Botucatu |
dc.contributor.author.fl_str_mv |
Raniero, M. R. [UNESP] Calca, M. V. C. [UNESP] Fernando, D. M. Z. Almeida, O. C. P. de Dal Pai, A. [UNESP] |
dc.subject.por.fl_str_mv |
Software Java Instruments Manuals IEEE transactions Digital images Visualization Digital Image Processing sunshine hours counting solar radiation |
topic |
Software Java Instruments Manuals IEEE transactions Digital images Visualization Digital Image Processing sunshine hours counting solar radiation |
description |
The 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. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-09-01 2021-06-25T11:55:11Z 2021-06-25T11:55:11Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://dx.doi.org/10.1109/TLA.2020.9381802 Ieee Latin America Transactions. Piscataway: Ieee-inst Electrical Electronics Engineers Inc, v. 18, n. 09, p. 1599-1605, 2020. 1548-0992 http://hdl.handle.net/11449/209287 10.1109/TLA.2020.9381802 WOS:000633636900013 |
url |
http://dx.doi.org/10.1109/TLA.2020.9381802 http://hdl.handle.net/11449/209287 |
identifier_str_mv |
Ieee Latin America Transactions. Piscataway: Ieee-inst Electrical Electronics Engineers Inc, v. 18, n. 09, p. 1599-1605, 2020. 1548-0992 10.1109/TLA.2020.9381802 WOS:000633636900013 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Ieee Latin America Transactions |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
1599-1605 |
dc.publisher.none.fl_str_mv |
Ieee-inst Electrical Electronics Engineers Inc |
publisher.none.fl_str_mv |
Ieee-inst Electrical Electronics Engineers Inc |
dc.source.none.fl_str_mv |
Web of Science reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
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_version_ |
1808128341941682176 |