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A control to soybean aphid via fuzzy linear programming

Author(s):
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Peixoto, M. S. ; Carvalho, S. M. S. ; Barros, L. C. ; Bassanezi, R. C. ; Laureano, E. E. ; Lodwick, W. A. ; Liu, J ; Lu, J ; Xu, Y ; Martinez, L ; Kerre, EE
Total Authors: 11
Document type: Journal article
Source: DATA SCIENCE AND KNOWLEDGE ENGINEERING FOR SENSING DECISION SUPPORT; v. 11, p. 6-pg., 2018-01-01.
Abstract

This work proposes a chemical control to soybean aphid by fuzzy linear programming. The soybean aphid, Aphis glycines (Hemiptera: Aphididae), is an invasive herbivore to North America. In this paper we have propose a chemical control in the plantation when the prey population exceeds the economic damage threshold. On the other hand, the soybean aphid has become the most devastating insect pest of soybean 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. (AU)

FAPESP's process: 13/24148-7 - Interior point methods applied to hydroelectric systems Predispatch with security constraints and bus and lines maneuvers
Grantee:Silvia Maria Simões de Carvalho
Support Opportunities: Regular Research Grants
FAPESP's process: 16/04299-9 - A study on control to soybean aphid via mathematical modelling
Grantee:Magda da Silva Peixoto
Support Opportunities: Regular Research Grants
FAPESP's process: 10/06822-4 - Efficient solution of large-scale linear and quadratic programming problems
Grantee:Aurelio Ribeiro Leite de Oliveira
Support Opportunities: Research Projects - Thematic Grants