TITLE:
On Fuzzy Control of Soybean Aphid
AUTHORS:
Magda S. Peixoto, Laécio C. Barros, Rodney C. Bassanezi, Odair A. Fernandes
KEYWORDS:
Fuzzy Sets, Fuzzy Systems, Mamdani Inference Method, Prey, Predator, Control
JOURNAL NAME:
Applied Mathematics,
Vol.7 No.17,
November
17,
2016
ABSTRACT: 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 biological control to
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. The dynamic model results in a
fuzzy model that preserves the biological meaning and nature of the
predator-prey model. The paper also includes a comparison between the fuzzy
model and real data reported in the literature. Subsequently, we propose a
biological control to soybean aphid by another fuzzy rule-based system. This
model has allowed to predict timing and releasing number of predators for
soybean aphid biological control. On the one hand, the soybean aphid has still
not found in Brazil. Therefore, before any eventual invasion, a predictive
model to enhance biological control program is desirable. On the other hand,
the soybean aphid has become the most devastating insect pest of soybeans in
the United States. Brazil is the second largest exporter of soybean at present,
after the USA and before Argentina. According to the Bureau of Agriculture of
the USA, it has been estimated that Brazil will be the largest soybean exporter
in 2023.