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A Systematic Review of IoT Solutions for Smart Farming

The world population growth is increasing the demand for food production. Furthermore, the reduction of the workforce in rural areas and the increase in production costs are challenges for food production nowadays. Smart farming is a farm management concept that may use Internet of Things (IoT) to o...

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Detalles Bibliográficos
Autores principales: Navarro, Emerson, Costa, Nuno, Pereira, António
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7436012/
https://www.ncbi.nlm.nih.gov/pubmed/32751366
http://dx.doi.org/10.3390/s20154231
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author Navarro, Emerson
Costa, Nuno
Pereira, António
author_facet Navarro, Emerson
Costa, Nuno
Pereira, António
author_sort Navarro, Emerson
collection PubMed
description The world population growth is increasing the demand for food production. Furthermore, the reduction of the workforce in rural areas and the increase in production costs are challenges for food production nowadays. Smart farming is a farm management concept that may use Internet of Things (IoT) to overcome the current challenges of food production. This work uses the preferred reporting items for systematic reviews (PRISMA) methodology to systematically review the existing literature on smart farming with IoT. The review aims to identify the main devices, platforms, network protocols, processing data technologies and the applicability of smart farming with IoT to agriculture. The review shows an evolution in the way data is processed in recent years. Traditional approaches mostly used data in a reactive manner. In more recent approaches, however, new technological developments allowed the use of data to prevent crop problems and to improve the accuracy of crop diagnosis.
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spelling pubmed-74360122020-08-24 A Systematic Review of IoT Solutions for Smart Farming Navarro, Emerson Costa, Nuno Pereira, António Sensors (Basel) Review The world population growth is increasing the demand for food production. Furthermore, the reduction of the workforce in rural areas and the increase in production costs are challenges for food production nowadays. Smart farming is a farm management concept that may use Internet of Things (IoT) to overcome the current challenges of food production. This work uses the preferred reporting items for systematic reviews (PRISMA) methodology to systematically review the existing literature on smart farming with IoT. The review aims to identify the main devices, platforms, network protocols, processing data technologies and the applicability of smart farming with IoT to agriculture. The review shows an evolution in the way data is processed in recent years. Traditional approaches mostly used data in a reactive manner. In more recent approaches, however, new technological developments allowed the use of data to prevent crop problems and to improve the accuracy of crop diagnosis. MDPI 2020-07-29 /pmc/articles/PMC7436012/ /pubmed/32751366 http://dx.doi.org/10.3390/s20154231 Text en © 2020 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 Review
Navarro, Emerson
Costa, Nuno
Pereira, António
A Systematic Review of IoT Solutions for Smart Farming
title A Systematic Review of IoT Solutions for Smart Farming
title_full A Systematic Review of IoT Solutions for Smart Farming
title_fullStr A Systematic Review of IoT Solutions for Smart Farming
title_full_unstemmed A Systematic Review of IoT Solutions for Smart Farming
title_short A Systematic Review of IoT Solutions for Smart Farming
title_sort systematic review of iot solutions for smart farming
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7436012/
https://www.ncbi.nlm.nih.gov/pubmed/32751366
http://dx.doi.org/10.3390/s20154231
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