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A Fuzzy mathematical model to estimate the effects of global warming on the vitality of Laelia purpurata orchids.
Putti, Fernando Ferrari; Filho, Luis Roberto Almeida Gabriel; Gabriel, Camila Pires Cremasco; Neto, Alfredo Bonini; Bonini, Carolina Dos Santos Batista; Rodrigues Dos Reis, André.
Afiliação
  • Putti FF; School of Science and Engineering, UNESP - São Paulo State University, Postal Code 17602-496, Tupã, SP, Brazil. Electronic address: fernandoputti@tupa.unesp.br.
  • Filho LRAG; School of Science and Engineering, UNESP - São Paulo State University, Postal Code 17602-496, Tupã, SP, Brazil.
  • Gabriel CPC; School of Science and Engineering, UNESP - São Paulo State University, Postal Code 17602-496, Tupã, SP, Brazil.
  • Neto AB; School of Science and Engineering, UNESP - São Paulo State University, Postal Code 17602-496, Tupã, SP, Brazil.
  • Bonini CDSB; School of Agricultural Sciences and Technology, UNESP - São Paulo State University, Postal Code 17900-000, Dracena, SP, Brazil.
  • Rodrigues Dos Reis A; School of Science and Engineering, UNESP - São Paulo State University, Postal Code 17602-496, Tupã, SP, Brazil.
Math Biosci ; 288: 124-129, 2017 06.
Article em En | MEDLINE | ID: mdl-28322852
This study aimed to develop a fuzzy mathematical model to estimate the impacts of global warming on the vitality of Laelia purpurata growing in different Brazilian environmental conditions. In order to develop the mathematical model was considered as intrinsic factors the parameters: temperature, humidity and shade conditions to determine the vitality of plants. Fuzzy model results could accurately predict the optimal conditions for cultivation of Laelia purpurata in several sites of Brazil. Based on fuzzy model results, we found that higher temperatures and lacking of properly shading can reduce the vitality of orchids. Fuzzy mathematical model could precisely detect the effect of higher temperatures causing damages on vitality of plants as a consequence of global warming.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Lógica Fuzzy / Orchidaceae / Aquecimento Global Tipo de estudo: Prognostic_studies País/Região como assunto: America do sul / Brasil Idioma: En Revista: Math Biosci Ano de publicação: 2017 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Lógica Fuzzy / Orchidaceae / Aquecimento Global Tipo de estudo: Prognostic_studies País/Região como assunto: America do sul / Brasil Idioma: En Revista: Math Biosci Ano de publicação: 2017 Tipo de documento: Article