A Fuzzy Logic Based Irrigation Management
System In Arid Regions Applied To The
State Of Qatar
Author(s)
F. Touati, M. Al-Hitmi & K. Benhmed
Abstract
In arid and hyper arid regions like Qatar, the time and duration of irrigation is
key to achieving sustainable irrigations. This paper proposes a practical solution
based on artificial intelligence where all design and implementation phases are
described. First, it describes a microcontroller-based system that collects soil
moisture, ambient temperature, and solar radiation. Then the fuzzy logic
controller takes these three inputs, and, based on the created rules table for a
given crop, it produces the desired time and duration of irrigation. Also, ZigBeebased
wireless monitoring is developed in-house in order to monitor the system
operation and save sensor readings, irrigation time and during, and amount of
water being dispensed. This constitutes the basis for future analysis and
economic and environmental studies. Experimental results showed that the
developed system rigorously compensates the amount of water that is lost
through evapotranspiration as predicted by Penman–Monteith model, which is
adapted by the FAO. The deployment of fuzzy control combined with wireless
monitoring is found to have a great impact on irrigation management and
planning in the near future.
Keywords: fuzzy logic, wireless monitoring, arid region, intelligent drip
irrigation system.
Keywords
fuzzy logic, wireless monitoring, arid region, intelligent drip
irrigation system.
Related Book
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