A framework of fuzzy control-based intelligent control system for greenhouse

Yi-Han Xu, Wen-Li Wu, Yong Xu, Mau-Luen Tham, Nordin Ramli


The existing technology of carbon dioxide regulation methods are incomplete and time consuming. It is difficult to manage and not environmentally friendly. Carbon dioxide regulation systems in greenhouse can only set carbon density thresholds relying on human experience. They cannot meet the practical requirements of the carbon dioxide density accurately; hence result in negative effects on crop growth. Therefore, how to effectively control the carbon dioxide density is significant essential to the growth of crop. In this paper, we propose an intelligent control system about carbon dioxide in greenhouse which is based on fuzzy logic and integrated with photosynthesis mechanism. Through extensive experiences, we found that the proposed system can automatically adjust the carbon dioxide density to the suitable levels more accurate in terms of time and amount automatically.

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DOI: https://doi.org/10.5430/air.v6n1p1


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Artificial Intelligence Research

ISSN 1927-6974 (Print)   ISSN 1927-6982 (Online)

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