2014
DOI: 10.15809/irriga.2014v19n3p405
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Abstract: The fuzzy logic accepts infinite intermediate logical values between false and true. In view of this principle, a system based on fuzzy rules was established to provide the best management of Catasetum fimbriatum. For the input of the developed fuzzy system, temperature and shade variables were used, and for the output, the orchid vitality. The system may help orchid experts and amateurs to manage this species. "Low" (L), "Medium" (M) and "High" (H) were used as linguistic variables. The objective of the study… Show more

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Cited by 28 publications
(29 citation statements)
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“…In agricultural engineering, mathematical models with real application in the area are being developed using numerical correction equations of temporal variables (GABRIEL FILHO et al, 2011b), or by developing systems based on artificial intelligence (GABRIEL FILHO et al, 2011ae PEREIRA et al, 2008, in companies of laying aviculture (CREMASCO et al, 2010), energy generation solar photovoltaic and wind power for rural electrification (CANEPPELE et al, 2013), evaluate vitality of catasetum fimbiratum species (Orchidacea) (PUTTI et al, 2014),evaluation of uncertainty transaction in cassava chain (GABRIEL FILHO et al, 2015) and application of controlled by fuzzy logic in electrically driven fertilizer (GARCIA et al, 2014).…”
Section: Introductionmentioning
confidence: 99%
“…In agricultural engineering, mathematical models with real application in the area are being developed using numerical correction equations of temporal variables (GABRIEL FILHO et al, 2011b), or by developing systems based on artificial intelligence (GABRIEL FILHO et al, 2011ae PEREIRA et al, 2008, in companies of laying aviculture (CREMASCO et al, 2010), energy generation solar photovoltaic and wind power for rural electrification (CANEPPELE et al, 2013), evaluate vitality of catasetum fimbiratum species (Orchidacea) (PUTTI et al, 2014),evaluation of uncertainty transaction in cassava chain (GABRIEL FILHO et al, 2015) and application of controlled by fuzzy logic in electrically driven fertilizer (GARCIA et al, 2014).…”
Section: Introductionmentioning
confidence: 99%
“…To create a fuzzy rule-based system it was necessary to define an input processor, a set of linguistic rules, a fuzzy inference method and an output processor, which generates a real number as exit, as done by PUTTI et al (2014).…”
Section: Methodsmentioning
confidence: 99%
“…The fuzzy modeling used was characterized methodologically in Part I of this study, to establish a mathematical model of the effects on the biometric and productivity variables at the harvest point of the tomato crop, which occurred 120 days after sowing (DAS). Some characteristics of such methodology, related to the way of creating pertinence functions or basic rules were similar to those made and implemented in Cremasco et al (2010), Gabriel Filho et al (2011, 2015, 2016, Pereira et al (2008) and Putti et al (2014).…”
Section: Fuzzy Modelingmentioning
confidence: 99%
“…In agronomy, various applications that make up the different uses of this technique are found, for example, in developing a support system for irrigation and water conservation in agriculture (Giusti & Marsili-Libelli, 2015), in support of the management of orchid species Engenharia Agrícola, Jaboticabal, v.39, n.3, p.305-314, may/jun. 2019 (Putti et al, 2014), in the evaluation of the features of agricultural land (Kurtener & Sukhanov, 2014) and in the evaluation of fertilization with composted sewage sludge and irrigation with drinking water and fertigation with wastewater in wheat crop (Putti et al, 2017).…”
Section: Introductionmentioning
confidence: 99%