Fuzzy modeling of coffee productivity under different irrigation depths, water deficit and temperature

Registro completo de metadados
MetadadosDescriçãoIdioma
Autor(es): dc.contributorCentro Universitário Sagrado Coração (UNISAGRADO)-
Autor(es): dc.contributorUniversidade de São Paulo (USP)-
Autor(es): dc.contributorUniversidade Estadual Paulista (UNESP)-
Autor(es): dc.creatorGodinho, Emmanuel Zullo-
Autor(es): dc.creatorCaneppele, Fernando de Lima-
Autor(es): dc.creatorGabriel Filho, Luís Roberto Almeida-
Autor(es): dc.creatorGabriel, Camila Pires Cremasco-
Data de aceite: dc.date.accessioned2025-08-21T22:07:38Z-
Data de disponibilização: dc.date.available2025-08-21T22:07:38Z-
Data de envio: dc.date.issued2025-04-29-
Data de envio: dc.date.issued2023-02-15-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.18011/bioeng.2023.v17.1193-
Fonte completa do material: dc.identifierhttps://hdl.handle.net/11449/301934-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/301934-
Descrição: dc.descriptionThe coffee culture has great economic importance on the world stage, especially for Brazil. Considered one of the most traded commodities on the world's trading exchanges. Thus, the main objective of this study was to develop a system based on fuzzy rules to evaluate coffee productivity, using irrigation, soil water deficit and ambient temperature as the main production factors. The research was developed from searches of scientific data on the main variables for coffee production. The work was divided into two stages: the first in the scientific search for data collection and the second in the development of the fuzzy model. With this, it was parameterized that the input variables would be the temperature, the irrigation depth, and the water deficit of the soil and for the output variable the coffee productivity. Based on the model prediction, the fuzzy system showed which variable values are necessary for the best coffee productivity, by a set of rules involving the variation of water deficit (60%), temperature (30°C) and irrigation (300 mm), for a productivity of 24 sc ha-1. The performance of the fuzzy system was tested by comparing it with articles on the subject that relate coffee production with irrigation, water deficit and temperature of the environment and in almost all cases the model was efficient, reinforcing the assessment of the strength of the scheme, the analysis was extended to several scenarios relating the same three input variables.-
Descrição: dc.descriptionUNISAGRADO Department Agronomy Centro Universitário Sagrado Coração (UNISAGRADO), SP-
Descrição: dc.descriptionUSP Department Biosystems Engineering FZEA/USP Universidade de São Paulo (USP), SP-
Descrição: dc.descriptionUNESP Department of Management Development and Technology FCE/UNESP Universidade Estadual Paulista (UNESP), SP-
Descrição: dc.descriptionUNESP Department of Management Development and Technology FCE/UNESP Universidade Estadual Paulista (UNESP), SP-
Idioma: dc.languageen-
Relação: dc.relationBrazilian Journal of Biosystems Engineering-
???dc.source???: dc.sourceScopus-
Palavras-chave: dc.subjectFuzzy logic-
Palavras-chave: dc.subjectIrrigation-
Palavras-chave: dc.subjectTemperature-
Palavras-chave: dc.subjectWater deficit-
Título: dc.titleFuzzy modeling of coffee productivity under different irrigation depths, water deficit and temperature-
Tipo de arquivo: dc.typelivro digital-
Aparece nas coleções:Repositório Institucional - Unesp

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