George Kokkonis
ABSTRACT
This paper proposes a novel neuro-fuzzy computational algorithm for embedded irrigation systems called FITRA. It presents a new system architecture for the process of continuously monitoring environmental conditions and efficient irrigation of arable areas. The system includes microcontroller equipment with multiple sensors interspersed all over the field. Transmissions of measurements, which occur periodically, send to a central cloud system Application Service (AS) assisted by a 3G network. The decision for irrigation or not is made by a neuro-fuzzy algorithm. As an input for that algorithm are the values taken from the interspersed sensors. As an output, this algorithm controls the central solenoid water valve of the water planting system. The irrigation system automatically adjusts to changing environmental conditions.
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Index Terms
- FITRA: a neuro-fuzzy computational algorithm approach based on an embedded water planting system
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