Intelligent water dispersal controller using Mamdani approach

  • Authors:
  • Shuzlina Abdul Rahman;Izham Fariz Ahmad Jinan;Ku Shairah Jazahanim;Azlinah Mohamed

  • Affiliations:
  • Faculty of Information Technology & Quantitative Sciences, Universiti Teknologi MARA, Shah Alam, Selangor, Malaysia;Faculty of Information Technology & Quantitative Sciences, Universiti Teknologi MARA, Shah Alam, Selangor, Malaysia;Faculty of Information Technology & Quantitative Sciences, Universiti Teknologi MARA, Shah Alam, Selangor, Malaysia;Faculty of Information Technology & Quantitative Sciences, Universiti Teknologi MARA, Shah Alam, Selangor, Malaysia

  • Venue:
  • FS'07 Proceedings of the 8th Conference on 8th WSEAS International Conference on Fuzzy Systems - Volume 8
  • Year:
  • 2007

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Abstract

Controlling the amount of water in maintaining lawn health and beauty is a main topic in horticulture. A reliable controller is needed to control the amount of water to be dispersed as to ensure the soil has adequate moisture level. The use of fuzzy logic for controlling water dispersal is discussed in this paper. The performances of fuzzy water dispersal controller (FuziWDC) were measured on a significant set of common Bermuda turfgrass. The improved Mamdani inferencing for the task of water dispersal controller that considered both evapotranspiration (ET), tensiometer variable was presented as opposed to the earlier research. The comparison results between the Mandani and the conventional approach was shown. As the result, FuziWDC has performed better than the conventional approaches based on the lower annual average water usage for the whole year recorded.