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Precision Agriculture Design Method Using a Distributed Computing Architecture on Internet of Things Context †
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 s...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6022150/ https://www.ncbi.nlm.nih.gov/pubmed/29843386 http://dx.doi.org/10.3390/s18061731 |
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author | Ferrández-Pastor, Francisco Javier García-Chamizo, Juan Manuel Nieto-Hidalgo, Mario Mora-Martínez, José |
author_facet | Ferrández-Pastor, Francisco Javier García-Chamizo, Juan Manuel Nieto-Hidalgo, Mario Mora-Martínez, José |
author_sort | Ferrández-Pastor, Francisco Javier |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-6022150 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-60221502018-07-02 Precision Agriculture Design Method Using a Distributed Computing Architecture on Internet of Things Context † Ferrández-Pastor, Francisco Javier García-Chamizo, Juan Manuel Nieto-Hidalgo, Mario Mora-Martínez, José Sensors (Basel) Article 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. MDPI 2018-05-28 /pmc/articles/PMC6022150/ /pubmed/29843386 http://dx.doi.org/10.3390/s18061731 Text en © 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 (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Ferrández-Pastor, Francisco Javier García-Chamizo, Juan Manuel Nieto-Hidalgo, Mario Mora-Martínez, José Precision Agriculture Design Method Using a Distributed Computing Architecture on Internet of Things Context † |
title | Precision Agriculture Design Method Using a Distributed Computing Architecture on Internet of Things Context † |
title_full | Precision Agriculture Design Method Using a Distributed Computing Architecture on Internet of Things Context † |
title_fullStr | Precision Agriculture Design Method Using a Distributed Computing Architecture on Internet of Things Context † |
title_full_unstemmed | Precision Agriculture Design Method Using a Distributed Computing Architecture on Internet of Things Context † |
title_short | Precision Agriculture Design Method Using a Distributed Computing Architecture on Internet of Things Context † |
title_sort | precision agriculture design method using a distributed computing architecture on internet of things context † |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6022150/ https://www.ncbi.nlm.nih.gov/pubmed/29843386 http://dx.doi.org/10.3390/s18061731 |
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