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Predictable Scenarios of Fuzzy Logic Analysis for Sprinkler Irrigation Control
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Author(s): Mohamed Elsayed Elhagarey (Desert Research Center, Egypt), Mohamed M. Hushki (Faculty of Mechanical Engineering, SzentIstvan University, Hungary)and Szabo E. Istvan (Faculty of Mechanical Engineering, SzentIstvan University, Hungary)
Copyright: 2021
Pages: 26
Source title:
Precision Agriculture Technologies for Food Security and Sustainability
Source Author(s)/Editor(s): Sherine M. Abd El-Kader (Electronics Research Institute, Cairo, Egypt)and Basma M. Mohammad El-Basioni (Electronics Research Institute, Cairo, Egypt)
DOI: 10.4018/978-1-7998-5000-7.ch009
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Abstract
MATLAB will be utilized to validate the various irrigation systems and report it; the air temperature, wind, and humidity will be member functions to improve the efficiency of irrigation performance before the irrigation process, and the fuzzy information system consists of fuzzy rules, which are derived from information of experts or from input-output learning of the system. Rules mimic human reasoning. Mamdani method is mostly applied in the fuzzy inference technique, and the generalized bell function is used for both of temperature and wind where the triangular function used for humidity. The principles were based on the last experiments and personal experiences, and the output will change into a crisp value from this procedure of defuzzification. There are many different methods to do defuzzification, but the most common technique is centroid method. The resultant surface graphic is enough to monitor, validate, and report the irrigation system efficiency to execute and schedule the irrigation practice management.
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