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.
Highlights
Over the last decades, traditional viticulture or vine-growing has experienced a revolution due to the advent of more environmentally friendly alternatives
Because the relative humidity sensor of Type-1 nodes is not protected against the weather, such nodes were encapsulated in Stevenson screens [65]
In this way, such a kind of node is isolated from the rain, but the air comes through the grille, allowing for measuring relative humidity
Summary
Traditional viticulture or vine-growing has experienced a revolution due to the advent of more environmentally friendly alternatives. When environmental conditions are favorable, it can attack all the organs of a green vine, causing losses of more than 50% of the crop [9] It appears in regions where the climate is hot and humid during the vegetative growth. The monitoring system provides the historical and real-time values of different relevant environmental parameters, generating statistics that may help to take specific measures to improve the treatments performed. It helps to predict the consequences of climate-driven changes, as pests and their host plants are interdependent.
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