Hybrid knowledge modeling for an intelligent greenhouse

P. Eredics, T. P. Dobrowiecki

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Citations (Scopus)

Abstract

The quality of control provided by greenhouse control systems can be improved by applying model based and intelligent control. To this aim a good model of a greenhouse is needed. For a large variety of industrial or recreational greenhouses the derivation of an analytical model is not feasible, due to the large amount of identification data and expertise needed. A black-box model of the whole system is neither feasible, as it would require a huge number of teaching samples. The only way to tackle this problem is the decomposition of the greenhouse system using hybrid modularized models, where each module represents a relatively loosely coupled component of the system. This paper discusses such decomposition and a model under development.

Original languageEnglish
Title of host publicationSIISY 2010 - 8th IEEE International Symposium on Intelligent Systems and Informatics
Pages459-463
Number of pages5
DOIs
Publication statusPublished - Dec 30 2010
Event8th IEEE International Symposium on Intelligent Systems and Informatics, SIISY 2010 - Subotica, Serbia
Duration: Sep 10 2010Sep 11 2010

Publication series

NameSIISY 2010 - 8th IEEE International Symposium on Intelligent Systems and Informatics

Other

Other8th IEEE International Symposium on Intelligent Systems and Informatics, SIISY 2010
CountrySerbia
CitySubotica
Period9/10/109/11/10

ASJC Scopus subject areas

  • Artificial Intelligence
  • Information Systems

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  • Cite this

    Eredics, P., & Dobrowiecki, T. P. (2010). Hybrid knowledge modeling for an intelligent greenhouse. In SIISY 2010 - 8th IEEE International Symposium on Intelligent Systems and Informatics (pp. 459-463). [5647334] (SIISY 2010 - 8th IEEE International Symposium on Intelligent Systems and Informatics). https://doi.org/10.1109/SISY.2010.5647334