Proceedings of the 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology

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

Authors
Magda S. Peixoto, Laécio C. Barros, Rodney C. Bassanezi, Odair A. Fernandes
Corresponding Author
Magda S. Peixoto
Available Online June 2015.
DOI
10.2991/ifsa-eusflat-15.2015.183How to use a DOI?
Keywords
Systems, Mamdani inference method, prey, predator, Aphis glycines, control.
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 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.

Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology
Series
Advances in Intelligent Systems Research
Publication Date
June 2015
ISBN
978-94-62520-77-6
ISSN
1951-6851
DOI
10.2991/ifsa-eusflat-15.2015.183How to use a DOI?
Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Magda S. Peixoto
AU  - Laécio C. Barros
AU  - Rodney C. Bassanezi
AU  - Odair A. Fernandes
PY  - 2015/06
DA  - 2015/06
TI  - An approach via fuzzy systems for dynamics and control of the soybean aphid
BT  - Proceedings of the 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology
PB  - Atlantis Press
SP  - 1295
EP  - 1301
SN  - 1951-6851
UR  - https://doi.org/10.2991/ifsa-eusflat-15.2015.183
DO  - 10.2991/ifsa-eusflat-15.2015.183
ID  - Peixoto2015/06
ER  -