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Fuzzy Water Dispersal Controller Using Sugeno Approach

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Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 4705))

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 disperse as to ensure the soil has enough moisture adequacy level. This research explores the use of fuzzy logic for the controlling of water dispersal. The performances of fuzzy water dispersal controller (FuziWDC) was measured based on a significant set of common Bermuda turfgrass. An improved Sugeno inferencing for the task of water dispersal controller is presented that considered both evapotranspiration (ET), tensiometer variable as opposed to the earlier work. A comparison of the output is being performed to evaluate Sugeno with conventional system. The result shows FuziWDC has performed better than the conventional technique based on the lower annual average water usage for the whole year recorded.

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Osvaldo Gervasi Marina L. Gavrilova

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© 2007 Springer-Verlag Berlin Heidelberg

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Mutalib, S., Rahman, S.A., Yusoff, M., Mohamed, A. (2007). Fuzzy Water Dispersal Controller Using Sugeno Approach. In: Gervasi, O., Gavrilova, M.L. (eds) Computational Science and Its Applications – ICCSA 2007. ICCSA 2007. Lecture Notes in Computer Science, vol 4705. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74472-6_47

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  • DOI: https://doi.org/10.1007/978-3-540-74472-6_47

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-74468-9

  • Online ISBN: 978-3-540-74472-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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