• 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