Smart Environments Design on Industrial Automated Greenhouses

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Title: Smart Environments Design on Industrial Automated Greenhouses
Authors: Ferrandez-Pastor, Francisco-Javier | Alcañiz Lucas, Sara | García-Chamizo, Juan Manuel | Platero Horcajadas, Manuel
Research Group/s: Informática Industrial y Redes de Computadores
Center, Department or Service: Universidad de Alicante. Departamento de Tecnología Informática y Computación
Keywords: Precision agriculture | Ubiquitous sensor network | Internet of things | Artificial intelligence | Embedded devices
Knowledge Area: Arquitectura y Tecnología de Computadores
Issue Date: 20-Nov-2019
Publisher: MDPI
Citation: Ferrández-Pastor FJ, Alcañiz-Lucas S, García-Chamizo JM, Platero-Horcajadas M. Smart Environments Design on Industrial Automated Greenhouses. Proceedings. 2019; 31(1):36. doi:10.3390/proceedings2019031036
Abstract: Greenhouse automation carried out with monitoring and control technologies optimizes the cultivation processes in industrial scenarios. In recent years, new trends and technologies have emerged in the agricultural sector. The application of Information and Communication Technologies has clear benefits. Embedded hardware systems development, new communication protocols over the Internet and applied Artificial Intelligence paradigms have increased the services’ capabilities. These technologies can be installed both in new facilities and in facilities that are already functioning. This paper analyses the integration of these paradigms into automated greenhouses. An integration model is proposed and developed in the plant experimental unit installed at the University of Alicante. This unit already has an automated system that controls air conditioning, soil conditions, and irrigation, but these control subsystems are not integrated. In this work, new processing nodes with integrated data are designed to develop new detection, prediction and optimization services. These services increase the performance of the installation and create smart environments in agricultural production.
Sponsor: This research was funded by the Industrial Computers and Computer Networks program (Informatica Industrial y redes de Computadores I2RC) (2018/2019) funded by the University of Alicante, Wak9 Holding BV company under the eo-TICC project, and the Valencian Innovation Agency under scientific innovation unit (UCIE Ars Innovatio) of the University of Alicante at https://web.ua.es/es/ars-innovatio/unidad-cientifica-deinnovacion-ars-innovatio.html.
URI: http://hdl.handle.net/10045/99312
ISSN: 2504-3900
DOI: 10.3390/proceedings2019031036
Language: eng
Type: info:eu-repo/semantics/article
Rights: © 2019 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 (http://creativecommons.org/licenses/by/4.0/).
Peer Review: si
Publisher version: https://doi.org/10.3390/proceedings2019031036
Appears in Collections:Unidad Científica de Innovación Empresarial “Ars Innovatio” - Publicaciones
INV - I2RC - Artículos de Revistas

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