Authors:
P. H. G. Coelho
1
;
J. F. M. Amaral
1
;
T. Carvalho
1
;
2
;
R. Gomes
1
;
I. Cardoso
1
and
T. Souza
1
Affiliations:
1
State Univ. of Rio de Janeiro, FEN/UERJ, R. S. Francisco Xavier, 524/Sala 5001E, Maracanã, RJ,20550-900, Brazil
;
2
Pontifical Catholic University of Rio de Janeiro, ELE, R. Marquês de São Vincente, 225, Gávea, RJ, 22453-900, Brazil
Keyword(s):
Fuzzy-Genetic Systems, Multi-Objective Optimization, Precision Agriculture, AI Applications.
Abstract:
High technology is increasingly applied to improving crop fields and coined an area as Precision Agriculture. The main focus of this work is to increase production by performing data acquisition from an agricultural crop area, monitoring sensor devices to measure temperature, humidity, etc. This allows the administrator of the field to make good decisions related to the land management. This paper proposes a hybrid fuzzy-genetic multi-objective intelligent method to place routers in an agricultural crop area so that to cover the sensor monitoring devices spread over it. The method combines a genetic algorithm with a fuzzy aggregation technique to evaluate multiples objectives, in order to determine an adequate location of the routers considering the designerś preferences. Case studies are presented and show the proposal results.