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Soft computing for greenhouse climate control

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5 Author(s)
Caponetto, R. ; Soft Comput. Group, STMicroelectron., Catania, Italy ; Fortuna, L. ; Nunnari, G. ; Occhipinti, L.
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The methodology proposed in the paper applies artificial intelligence (AI) techniques to the modeling and control of some climate variables within a greenhouse. The nonlinear physical phenomena governing the dynamics of temperature and humidity in such systems are, in fact, difficult to model and control using traditional techniques. The paper proposes a framework for the development of soft computing-based controllers in modern greenhouses

Published in:

Fuzzy Systems, IEEE Transactions on  (Volume:8 ,  Issue: 6 )

Date of Publication:

Dec 2000

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