Precision Agriculture Design Method Using a Distributed Computing Architecture on Internet of Things Context

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Title: Precision Agriculture Design Method Using a Distributed Computing Architecture on Internet of Things Context
Authors: Ferrandez-Pastor, Francisco-Javier | García-Chamizo, Juan Manuel | Nieto-Hidalgo, Mario | Mora-Martínez, José
Research Group/s: Informática Industrial y Redes de Computadores
Center, Department or Service: Universidad de Alicante. Departamento de Tecnología Informática y Computación
Keywords: Internet of Things | Precision agriculture | Fog and edge computing
Knowledge Area: Arquitectura y Tecnología de Computadores
Issue Date: 28-May-2018
Publisher: MDPI
Citation: Ferrández-Pastor FJ, García-Chamizo JM, Nieto-Hidalgo M, Mora-Martínez J. Precision Agriculture Design Method Using a Distributed Computing Architecture on Internet of Things Context. Sensors. 2018; 18(6):1731. doi:10.3390/s18061731
Abstract: The Internet of Things (IoT) has opened productive ways to cultivate soil with the use of low-cost hardware (sensors/actuators) and communication (Internet) technologies. Remote equipment and crop monitoring, predictive analytic, weather forecasting for crops or smart logistics and warehousing are some examples of these new opportunities. Nevertheless, farmers are agriculture experts but, usually, do not have experience in IoT applications. Users who use IoT applications must participate in its design, improving the integration and use. In this work, different industrial agricultural facilities are analysed with farmers and growers to design new functionalities based on IoT paradigms deployment. User-centred design model is used to obtain knowledge and experience in the process of introducing technology in agricultural applications. Internet of things paradigms are used as resources to facilitate the decision making. IoT architecture, operating rules and smart processes are implemented using a distributed model based on edge and fog computing paradigms. A communication architecture is proposed using these technologies. The aim is to help farmers to develop smart systems both, in current and new facilities. Different decision trees to automate the installation, designed by the farmer, can be easily deployed using the method proposed in this document.
Sponsor: This research was supported by Industrial Computers and Computer Networks program (I2RC) (2016/2017) funded by the University of Alicante.
ISSN: 1424-8220
DOI: 10.3390/s18061731
Language: eng
Type: info:eu-repo/semantics/article
Rights: © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (
Peer Review: si
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Appears in Collections:INV - I2RC - Artículos de Revistas

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