An approach via fuzzy sets theory for the dynamics of the soybean aphid and its predator

نویسندگان

  • Magda S. Peixoto
  • Laécio C. Barros
  • Rodney C. Bassanezi
  • Odair A. Fernandes
چکیده

This paper uses a methodology based in fuzzy sets theory in order to describe the interaction between the prey, Aphis glycines (Hemiptera: Aphididae) the soybean aphid, and its predator, Orius insidiosus (Hemiptera: Anthocoridae). Economic thresholds were already developed for this pest. The aim of this investigation was to develop a simple and specific methodology by fuzzy rule-based system to help enhance decision making tools for biological control of this pest. The model includes biotic (predator) and abiotic (temperature) factors, which affect the soybean aphid population dynamics. The paper also includes a comparison between the fuzzy model and data reported in the literature. This model is very useful to predict timing and releasing numbers of predators for soybean aphid biological control. Palavras-chave: Fuzzy sets; Fuzzy systems; Mamdani inference method; Prey; Predator; Soybean aphid.

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تاریخ انتشار 2015