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Future Internet 2017, 9(4), 78; doi:10.3390/fi9040078

Proposed Fuzzy-NN Algorithm with LoRaCommunication Protocol for Clustered Irrigation Systems

1
Department of Mathematics, University of Ioannina, 45110 Ioannina, Greece
2
Department of Business Administration, TEI of Western Macedonia, 51100 Grevena, Greece
3
Opera Department—Wireless Communications Group, Universitélibre de Bruxelles, 1050 Bruxelles, Belgium
4
Department of Accountancy, TEI of Eastern Macedonia and Thrace, 65404 Kavala, Greece
*
Author to whom correspondence should be addressed.
Received: 28 August 2017 / Revised: 31 October 2017 / Accepted: 1 November 2017 / Published: 7 November 2017
(This article belongs to the Special Issue Big Data and Internet of Thing)
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Abstract

Modern irrigation systems utilize sensors and actuators, interconnected together as a single entity. In such entities, A.I. algorithms are implemented, which are responsible for the irrigation process. In this paper, the authors present an irrigation Open Watering System (OWS) architecture that spatially clusters the irrigation process into autonomous irrigation sections. Authors’ OWS implementation includes a Neuro-Fuzzy decision algorithm called FITRA, which originates from the Greek word for seed. In this paper, the FITRA algorithm is described in detail, as are experimentation results that indicate significant water conservations from the use of the FITRA algorithm. Furthermore, the authors propose a new communication protocol over LoRa radio as an alternative low-energy and long-range OWS clusters communication mechanism. The experimental scenarios confirm that the FITRA algorithm provides more efficient irrigation on clustered areas than existing non-clustered, time scheduled or threshold adaptive algorithms. This is due to the FITRA algorithm’s frequent monitoring of environmental conditions, fuzzy and neural network adaptation as well as adherence to past irrigation preferences. View Full-Text
Keywords: water planting systems; neural network algorithms; fuzzy algorithms; smart farming; agriculture; soil sensor; smart irrigation; IoT water planting systems; neural network algorithms; fuzzy algorithms; smart farming; agriculture; soil sensor; smart irrigation; IoT
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MDPI and ACS Style

Kontogiannis, S.; Kokkonis, G.; Ellinidou, S.; Valsamidis, S. Proposed Fuzzy-NN Algorithm with LoRaCommunication Protocol for Clustered Irrigation Systems. Future Internet 2017, 9, 78.

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