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VineSens: An Eco-Smart Decision-Support Viticulture System
This article presents VineSens, a hardware and software platform for supporting the decision-making of the vine grower. VineSens is based on a wireless sensor network system composed by autonomous and self-powered nodes that are deployed throughout a vineyard. Such nodes include sensors that allow u...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5375751/ https://www.ncbi.nlm.nih.gov/pubmed/28245619 http://dx.doi.org/10.3390/s17030465 |
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author | Pérez-Expósito, Josman P. Fernández-Caramés, Tiago M. Fraga-Lamas, Paula Castedo, Luis |
author_facet | Pérez-Expósito, Josman P. Fernández-Caramés, Tiago M. Fraga-Lamas, Paula Castedo, Luis |
author_sort | Pérez-Expósito, Josman P. |
collection | PubMed |
description | This article presents VineSens, a hardware and software platform for supporting the decision-making of the vine grower. VineSens is based on a wireless sensor network system composed by autonomous and self-powered nodes that are deployed throughout a vineyard. Such nodes include sensors that allow us to obtain detailed knowledge on different viticulture processes. Thanks to the use of epidemiological models, VineSens is able to propose a custom control plan to prevent diseases like one of the most feared by vine growers: downy mildew. VineSens generates alerts that warn farmers about the measures that have to be taken and stores the historical weather data collected from different spots of the vineyard. Such data can then be accessed through a user-friendly web-based interface that can be accessed through the Internet by using desktop or mobile devices. VineSens was deployed at the beginning in 2016 in a vineyard in the Ribeira Sacra area (Galicia, Spain) and, since then, its hardware and software have been tested to prevent the development of downy mildew, showing during its first season that the system can led to substantial savings, to decrease the amount of phytosanitary products applied, and, as a consequence, to obtain a more ecologically sustainable and healthy wine. |
format | Online Article Text |
id | pubmed-5375751 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-53757512017-04-10 VineSens: An Eco-Smart Decision-Support Viticulture System Pérez-Expósito, Josman P. Fernández-Caramés, Tiago M. Fraga-Lamas, Paula Castedo, Luis Sensors (Basel) Article This article presents VineSens, a hardware and software platform for supporting the decision-making of the vine grower. VineSens is based on a wireless sensor network system composed by autonomous and self-powered nodes that are deployed throughout a vineyard. Such nodes include sensors that allow us to obtain detailed knowledge on different viticulture processes. Thanks to the use of epidemiological models, VineSens is able to propose a custom control plan to prevent diseases like one of the most feared by vine growers: downy mildew. VineSens generates alerts that warn farmers about the measures that have to be taken and stores the historical weather data collected from different spots of the vineyard. Such data can then be accessed through a user-friendly web-based interface that can be accessed through the Internet by using desktop or mobile devices. VineSens was deployed at the beginning in 2016 in a vineyard in the Ribeira Sacra area (Galicia, Spain) and, since then, its hardware and software have been tested to prevent the development of downy mildew, showing during its first season that the system can led to substantial savings, to decrease the amount of phytosanitary products applied, and, as a consequence, to obtain a more ecologically sustainable and healthy wine. MDPI 2017-02-25 /pmc/articles/PMC5375751/ /pubmed/28245619 http://dx.doi.org/10.3390/s17030465 Text en © 2017 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 Pérez-Expósito, Josman P. Fernández-Caramés, Tiago M. Fraga-Lamas, Paula Castedo, Luis VineSens: An Eco-Smart Decision-Support Viticulture System |
title | VineSens: An Eco-Smart Decision-Support Viticulture System |
title_full | VineSens: An Eco-Smart Decision-Support Viticulture System |
title_fullStr | VineSens: An Eco-Smart Decision-Support Viticulture System |
title_full_unstemmed | VineSens: An Eco-Smart Decision-Support Viticulture System |
title_short | VineSens: An Eco-Smart Decision-Support Viticulture System |
title_sort | vinesens: an eco-smart decision-support viticulture system |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5375751/ https://www.ncbi.nlm.nih.gov/pubmed/28245619 http://dx.doi.org/10.3390/s17030465 |
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