Fuzzy modeling of the risk of cacao moniliasis occurrence in Bahia state, Brazil
Autor(a) principal: | |
---|---|
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/10.1590/1807-1929/agriambi.v24n4p225-230 http://hdl.handle.net/11449/196699 |
Resumo: | This work aimed to determine potential areas for the establishment of cocoa moniliasis in Bahia state, Brazil, by means of fuzzy logic, based on historical datasets of temperature and air relative humidity, available for 519 measurement points distributed throughout the state of Bahia. The data were initially submitted to a descriptive statistical analysis. The spatial variability was determined through geostatistical analysis, followed by interpolation to map the spatial-temporal structure dependence of the phenomenon. Simulations of continuous pixel-to-pixel classification of variables were performed using fuzzy mapping to model the climatic risk of disease establishment. The exponential fuzzy model was applied to temperature data, while the linear model was used for air relative humidity data. The potential areas were defined for each month, using data of temperature and air relative humidity. The fuzzy models used allowed for modeling of the climatic risk of cocoa moniliasis establishment. A large area of the state is at high risk of disease, thus requiring mitigating measures to avoid the pathogen's introduction and dissemination. |
id |
UNSP_9e546d54f36b94186c9954e8e98dc66b |
---|---|
oai_identifier_str |
oai:repositorio.unesp.br:11449/196699 |
network_acronym_str |
UNSP |
network_name_str |
Repositório Institucional da UNESP |
repository_id_str |
2946 |
spelling |
Fuzzy modeling of the risk of cacao moniliasis occurrence in Bahia state, BrazilMoniliophthora roreriTheobroma cacaoclimate changegeostatisticsprecision phytopathologyThis work aimed to determine potential areas for the establishment of cocoa moniliasis in Bahia state, Brazil, by means of fuzzy logic, based on historical datasets of temperature and air relative humidity, available for 519 measurement points distributed throughout the state of Bahia. The data were initially submitted to a descriptive statistical analysis. The spatial variability was determined through geostatistical analysis, followed by interpolation to map the spatial-temporal structure dependence of the phenomenon. Simulations of continuous pixel-to-pixel classification of variables were performed using fuzzy mapping to model the climatic risk of disease establishment. The exponential fuzzy model was applied to temperature data, while the linear model was used for air relative humidity data. The potential areas were defined for each month, using data of temperature and air relative humidity. The fuzzy models used allowed for modeling of the climatic risk of cocoa moniliasis establishment. A large area of the state is at high risk of disease, thus requiring mitigating measures to avoid the pathogen's introduction and dissemination.Univ Estadual Paulista, Fac Ciencias Agr & Vet, Dept Engn Rural, Jaboticabal, SP, BrazilUniv Fed Espirito Santo, Dept Engn Rural, Alegre, ES, BrazilUniv Sao Paulo, Escola Super Agr Luiz de Queiroz, Dept Solos & Nutr Plantas, Piracicaba, SP, BrazilUniv Estadual Paulista, Fac Ciencias Agr & Vet, Dept Engn Rural, Jaboticabal, SP, BrazilUniv Federal Campina GrandeUniversidade Estadual Paulista (Unesp)Universidade Federal do Espírito Santo (UFES)Universidade de São Paulo (USP)Almeida, Samira L. H. de [UNESP]Silva, Samuel de A.Lima, Juliao S. de S.Rosas, Jorge T. F.Capelini, Vinicius A.2020-12-10T19:53:23Z2020-12-10T19:53:23Z2020-04-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article225-230application/pdfhttp://dx.doi.org/10.1590/1807-1929/agriambi.v24n4p225-230Revista Brasileira De Engenharia Agricola E Ambiental. Campina Grande Pb: Univ Federal Campina Grande, v. 24, n. 4, p. 225-230, 2020.1415-4366http://hdl.handle.net/11449/19669910.1590/1807-1929/agriambi.v24n4p225-230S1415-43662020000400225WOS:000520404800002S1415-43662020000400225.pdfWeb of Sciencereponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengRevista Brasileira De Engenharia Agricola E Ambientalinfo:eu-repo/semantics/openAccess2023-10-08T06:09:10Zoai:repositorio.unesp.br:11449/196699Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462023-10-08T06:09:10Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Fuzzy modeling of the risk of cacao moniliasis occurrence in Bahia state, Brazil |
title |
Fuzzy modeling of the risk of cacao moniliasis occurrence in Bahia state, Brazil |
spellingShingle |
Fuzzy modeling of the risk of cacao moniliasis occurrence in Bahia state, Brazil Almeida, Samira L. H. de [UNESP] Moniliophthora roreri Theobroma cacao climate change geostatistics precision phytopathology |
title_short |
Fuzzy modeling of the risk of cacao moniliasis occurrence in Bahia state, Brazil |
title_full |
Fuzzy modeling of the risk of cacao moniliasis occurrence in Bahia state, Brazil |
title_fullStr |
Fuzzy modeling of the risk of cacao moniliasis occurrence in Bahia state, Brazil |
title_full_unstemmed |
Fuzzy modeling of the risk of cacao moniliasis occurrence in Bahia state, Brazil |
title_sort |
Fuzzy modeling of the risk of cacao moniliasis occurrence in Bahia state, Brazil |
author |
Almeida, Samira L. H. de [UNESP] |
author_facet |
Almeida, Samira L. H. de [UNESP] Silva, Samuel de A. Lima, Juliao S. de S. Rosas, Jorge T. F. Capelini, Vinicius A. |
author_role |
author |
author2 |
Silva, Samuel de A. Lima, Juliao S. de S. Rosas, Jorge T. F. Capelini, Vinicius A. |
author2_role |
author author author author |
dc.contributor.none.fl_str_mv |
Universidade Estadual Paulista (Unesp) Universidade Federal do Espírito Santo (UFES) Universidade de São Paulo (USP) |
dc.contributor.author.fl_str_mv |
Almeida, Samira L. H. de [UNESP] Silva, Samuel de A. Lima, Juliao S. de S. Rosas, Jorge T. F. Capelini, Vinicius A. |
dc.subject.por.fl_str_mv |
Moniliophthora roreri Theobroma cacao climate change geostatistics precision phytopathology |
topic |
Moniliophthora roreri Theobroma cacao climate change geostatistics precision phytopathology |
description |
This work aimed to determine potential areas for the establishment of cocoa moniliasis in Bahia state, Brazil, by means of fuzzy logic, based on historical datasets of temperature and air relative humidity, available for 519 measurement points distributed throughout the state of Bahia. The data were initially submitted to a descriptive statistical analysis. The spatial variability was determined through geostatistical analysis, followed by interpolation to map the spatial-temporal structure dependence of the phenomenon. Simulations of continuous pixel-to-pixel classification of variables were performed using fuzzy mapping to model the climatic risk of disease establishment. The exponential fuzzy model was applied to temperature data, while the linear model was used for air relative humidity data. The potential areas were defined for each month, using data of temperature and air relative humidity. The fuzzy models used allowed for modeling of the climatic risk of cocoa moniliasis establishment. A large area of the state is at high risk of disease, thus requiring mitigating measures to avoid the pathogen's introduction and dissemination. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-12-10T19:53:23Z 2020-12-10T19:53:23Z 2020-04-01 |
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/10.1590/1807-1929/agriambi.v24n4p225-230 Revista Brasileira De Engenharia Agricola E Ambiental. Campina Grande Pb: Univ Federal Campina Grande, v. 24, n. 4, p. 225-230, 2020. 1415-4366 http://hdl.handle.net/11449/196699 10.1590/1807-1929/agriambi.v24n4p225-230 S1415-43662020000400225 WOS:000520404800002 S1415-43662020000400225.pdf |
url |
http://dx.doi.org/10.1590/1807-1929/agriambi.v24n4p225-230 http://hdl.handle.net/11449/196699 |
identifier_str_mv |
Revista Brasileira De Engenharia Agricola E Ambiental. Campina Grande Pb: Univ Federal Campina Grande, v. 24, n. 4, p. 225-230, 2020. 1415-4366 10.1590/1807-1929/agriambi.v24n4p225-230 S1415-43662020000400225 WOS:000520404800002 S1415-43662020000400225.pdf |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Revista Brasileira De Engenharia Agricola E Ambiental |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
225-230 application/pdf |
dc.publisher.none.fl_str_mv |
Univ Federal Campina Grande |
publisher.none.fl_str_mv |
Univ Federal Campina Grande |
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 |
|
_version_ |
1799964487265026048 |