An approach via fuzzy systems for dynamics and control of the soybean aphid

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) and to propose a chemical control for soybean aphid. Economic thresholds were already developed for this pest. The model includes biotic (predator) and abiotic (temperature) factors, which affect the soybean aphid population dynamics. This model is very useful to predict timing and releasing numbers of predators for soybean aphid biological control.

Keywords

systems , Mamdani inference method , prey , predator , Aphis glycines , control

Language

English

Citation

Proceedings Of The 2015 Conference Of The International Fuzzy Systems Association And The European Society For Fuzzy Logic And Technology. Paris: Atlantis Press, v. 89, p. 1295-1301, 2015.