Fuzzy modeling of the risk of cacao moniliasis occurrence in Bahia state, Brazil

Página do item simplificado
dc.contributor.authorAlmeida, Samira L. H. de [UNESP]
dc.contributor.authorSilva, Samuel de A.
dc.contributor.authorLima, Juliao S. de S.
dc.contributor.authorRosas, Jorge T. F.
dc.contributor.authorCapelini, Vinicius A.
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.contributor.institutionUniversidade Federal do Espírito Santo (UFES)
dc.contributor.institutionUniversidade de São Paulo (USP)
dc.date.accessioned2020-12-10T19:53:23Z
dc.date.available2020-12-10T19:53:23Z
dc.date.issued2020-04-01
dc.description.abstractThis 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.en
dc.description.affiliationUniv Estadual Paulista, Fac Ciencias Agr & Vet, Dept Engn Rural, Jaboticabal, SP, Brazil
dc.description.affiliationUniv Fed Espirito Santo, Dept Engn Rural, Alegre, ES, Brazil
dc.description.affiliationUniv Sao Paulo, Escola Super Agr Luiz de Queiroz, Dept Solos & Nutr Plantas, Piracicaba, SP, Brazil
dc.description.affiliationUnespUniv Estadual Paulista, Fac Ciencias Agr & Vet, Dept Engn Rural, Jaboticabal, SP, Brazil
dc.format.extent225-230
dc.identifierhttp://dx.doi.org/10.1590/1807-1929/agriambi.v24n4p225-230
dc.identifier.citationRevista Brasileira De Engenharia Agricola E Ambiental. Campina Grande Pb: Univ Federal Campina Grande, v. 24, n. 4, p. 225-230, 2020.
dc.identifier.doi10.1590/1807-1929/agriambi.v24n4p225-230
dc.identifier.fileS1415-43662020000400225.pdf
dc.identifier.issn1415-4366
dc.identifier.scieloS1415-43662020000400225
dc.identifier.urihttp://hdl.handle.net/11449/196699
dc.identifier.wosWOS:000520404800002
dc.language.isoeng
dc.publisherUniv Federal Campina Grande
dc.relation.ispartofRevista Brasileira De Engenharia Agricola E Ambiental
dc.rights.accessRightsAcesso aberto
dc.sourceWeb of Science
dc.subjectMoniliophthora roreri
dc.subjectTheobroma cacao
dc.subjectclimate change
dc.subjectgeostatistics
dc.subjectprecision phytopathology
dc.titleFuzzy modeling of the risk of cacao moniliasis occurrence in Bahia state, Brazilen
dc.typeArtigo
dcterms.rightsHolderUniv Federal Campina Grande

Arquivos

Pacote Original
Agora exibindo 1 - 1 de 1
Imagem de Miniatura
Nome:
S1415-43662020000400225.pdf
Tamanho:
1.35 MB
Formato:
Adobe Portable Document Format
Baixar

Coleções

Artigos - Engenharia Rural - FCAV