title: VineSens: An Eco-Smart Decision-Support Viticulture System.
abstract: 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.
authors.affiliation: Department of Electronics and Systems, Faculty of Computer Science, Universidade da Coruña, 15071 A Coruña, Spain. josman.perez@udc.es.
authors.forename: Josman P
authors.initials: JP
authors.lastname: Pérez-Expósito
authors.affiliation: Department of Electronics and Systems, Faculty of Computer Science, Universidade da Coruña, 15071 A Coruña, Spain. tiago.fernandez@udc.es.
authors.forename: Tiago M
authors.initials: TM
authors.lastname: Fernández-Caramés
authors.affiliation: Department of Electronics and Systems, Faculty of Computer Science, Universidade da Coruña, 15071 A Coruña, Spain. paula.fraga@udc.es.
authors.forename: Paula
authors.initials: P
authors.lastname: Fraga-Lamas
authors.affiliation: Department of Electronics and Systems, Faculty of Computer Science, Universidade da Coruña, 15071 A Coruña, Spain. luis.castedo@udc.es.
authors.forename: Luis
authors.initials: L
authors.lastname: Castedo
mesh_terms: D000383:Agriculture; D012984:Software; D013030:Spain; D027843:Vitis; D014920:Wine
keywords: IoT; ecologically sustainable vineyards; environmental impact; grapevine; plant diseases and pests; precision agriculture; smart viticulture; vineyards; wireless sensor networks