DocumentCode :
2260951
Title :
A fuzzy approach to greenhouse climate control
Author :
Caponetto, R. ; Fortuna, L. ; Nunnari, G. ; Occhipinti, L.
Author_Institution :
Soft Comput. & Multimedia Technol. Group, SGS Thomson Microelectron., Catania, Italy
Volume :
3
fYear :
1998
fDate :
21-26 Jun 1998
Firstpage :
1866
Abstract :
The methodology proposed in the paper deals with the use of artificial intelligence techniques in the modelling and control of climate variables within a greenhouse. The nonlinear physical phenomena governing the dynamics of temperature and humidity on such systems are, in fact, difficult to be modelled and controlled using traditional techniques. The paper proposes a framework for the development of fuzzy logic controllers in modern greenhouses
Keywords :
agriculture; fuzzy control; genetic algorithms; humidity control; intelligent control; temperature control; artificial intelligence; climate control; fuzzy control; fuzzy logic; genetic algorithm; greenhouse; humidity control; temperature control; Application software; Artificial intelligence; Artificial neural networks; Computational modeling; Expert systems; Fuzzy control; Fuzzy logic; Humidity control; Mathematical model; Temperature control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
American Control Conference, 1998. Proceedings of the 1998
Conference_Location :
Philadelphia, PA
ISSN :
0743-1619
Print_ISBN :
0-7803-4530-4
Type :
conf
DOI :
10.1109/ACC.1998.707343
Filename :
707343
Link To Document :
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