Authors:
P. H. G. Coelho
;
J. F. M. Amaral
;
K. Guimarães
;
E. N. Rocha
and
T. Souza
Affiliation:
State Univ. of Rio de Janeiro, FEN/DETEL, R. S. Francisco Xavier, 524/Sala 5001E, Maracanã, RJ, 20550-900, Brazil
Keyword(s):
Genetic Algorithms, Fuzzy Systems, Precision Agriculture, Artificial Intelligence Applications.
Abstract:
The utilization of technologies in agriculture, which is called precision agriculture, is progressively necessary to optimize crop yields. The purpose of this paper is to present an optimized positioning of routers, seeking a robust topology of the network, in order to cover the sensor monitoring devices spread in an agricultural crop area, sending data such as temperature, soil humidity, incidence of luminosity, etc., which allows the farmer to make better decisions regarding the cultivation of his/her land. For this, genetic algorithms will be used to determine the location of routers in a network through evolutionary techniques associated with a fuzzy aggregation method. Typical application cases are presented and discussed to illustrate the proposal.