2003
DOI: 10.1590/s0103-17592003000200003
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Previsão de produção agrícola baseada em regras linguísticas e lógica fuzzy

Abstract: A good precision in forecasting cocoa production has become significant due to the decreasing profit margin cocoa producers have experienced in the past years. This has been caused by increasing production costs and by a reduction in international prices. This work presents a fuzzy logic system that allows farmers to forecast their cocoa production with higher precision and simplicity. The method is less costly than the one currently employed and has been devised to be part of a system that should help farm ma… Show more

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Cited by 5 publications
(5 citation statements)
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“…Dessa forma a lógica fuzzy representa uma proposta importante e pode trazer grandes subsídiosà agricultura com a interpretação de dados linguísticos através de programas computacionais [11]. A lógica fuzzy está sendo utilizada em váriasáreas como na classificação de cordeiros 4 para o abate [10], produtividade de aves [12], estimativa deárea de plantio de soja [1], maximização de lucros no cultivo de cacau [17] e estimativa da produtividade de trigo pelo nitrogênio [14]. …”
Section: Resultsunclassified
“…Dessa forma a lógica fuzzy representa uma proposta importante e pode trazer grandes subsídiosà agricultura com a interpretação de dados linguísticos através de programas computacionais [11]. A lógica fuzzy está sendo utilizada em váriasáreas como na classificação de cordeiros 4 para o abate [10], produtividade de aves [12], estimativa deárea de plantio de soja [1], maximização de lucros no cultivo de cacau [17] e estimativa da produtividade de trigo pelo nitrogênio [14]. …”
Section: Resultsunclassified
“…Fuzzy logic-based adaptive controller design depends upon proper formulation of control rule base [11]. All rules are validated in parallel, and the end of the rules depends on the expertise of the specialist [12]. The rules are useful because they refer to variables and adjectives that describe these variables.…”
Section: Methodsmentioning
confidence: 99%
“…The fuzzy logic systems used the min of Mamdani implication operator [18] due to its intuitiveness and widely acceptance, translating better human experience and the method of composition of limited sum, chosen due to the nature of the rules, considering that each variable defined an increase or decrease in the occurrence of rust, similarly adopted by Vargens et al [35]. The choice of the defuzification method can make significant impact on the speed and accuracy of fuzzy controller and was configured with the centroid method.…”
Section: Methodsmentioning
confidence: 99%