Opendata, web and dolomites

VineScout SIGNED

Intelligent decision from vineyard robots

Total Cost €

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EC-Contrib. €

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Partnership

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 VineScout project word cloud

Explore the words cloud of the VineScout project. It provides you a very rough idea of what is the project "VineScout" about.

advent    economically    vineyards    strategic    poor    losing    smes    wine    optimize    external    commercial    small    tradeshows    vinerobot    competitive    reinforced    wines    lost    yielding    agriculture    position    farmers    young    age    area    sectors    software    manual    mapping    successful    million    of    reputation    viticulture    follow    interpretation    agricultural    service    strategically    granted    attract    ones    first    happens    create    penetration    industrial    robot    repeatability    trl6    market    robotics    rapid    active    sampling    ict    benefits    count    decision    540    cumulative    internal    socially    sustainability    rural    adoption    performance    practical    efficient    boosted    population    precision    business    retirement    protection    navigation    farming    deployment    depends    size    54    industrialize    international    speaking    plan    friendliness    near    employment    expert    committed    electronics    industry    industries    risk    33    conferences    global    meager    monitoring       leaders    data    vineyard    innovative    turnover    vinescout    unaffordable    reaching   

Project "VineScout" data sheet

The following table provides information about the project.

Coordinator
UNIVERSITAT POLITECNICA DE VALENCIA 

Organization address
address: CAMINO DE VERA SN EDIFICIO 3A
city: VALENCIA
postcode: 46022
website: www.upv.es

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Spain [ES]
 Project website http://vinescout.eu/web/
 Total cost 2˙125˙081 €
 EC max contribution 1˙741˙225 € (82%)
 Programme 1. H2020-EU.3. (PRIORITY 'Societal challenges)
2. H2020-EU.2. (PRIORITY 'Industrial leadership')
 Code Call H2020-FTIPilot-2016-1
 Funding Scheme IA
 Starting year 2016
 Duration (year-month-day) from 2016-12-01   to  2020-11-30

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    UNIVERSITAT POLITECNICA DE VALENCIA ES (VALENCIA) coordinator 490˙625.00
2    SUNDANCE MULTIPROCESSOR TECHNOLOGY LTD UK (CHESHAM) participant 431˙834.00
3    UNIVERSIDAD DE LA RIOJA ES (LA RIOJA) participant 354˙937.00
4    WALL-YE SARL FR (MACON) participant 303˙056.00
5    SYMINGTON FAMILY ESTATES, VINHOS,SA PT (VILA NOVA DE GAIA) participant 160˙772.00
6    SYMINGTON - VINHOS SA PT (VILA NOVA DE GAIA) participant 0.00

Map

 Project objective

The wine industry is strategically for Europe, both economically and socially speaking. Its competitive position in the global market depends on the long-term reputation of its wines, which needs many years to be built but can be lost quickly with a poor wine. The risk of losing reputation is high when repeatability cannot be granted, which happens ever more in the vineyards where manual data sampling is meager due to unaffordable costs. Therefore, our aim is to industrialize, demonstrate, and take as first ones to market an innovative expert field monitoring system (decision support system) embedded in a small-size and cost-efficient robot for the vineyard, which will be the follow-up of the successful EU-funded project VineRobot (TRL6/7). In order to ensure commercial success, we will optimize both the external design and the internal electronics, as well as industrialize the navigation and mapping software for top performance, protection, and user friendliness. For this we count on an industry-driven consortium, targeting one of the largest agricultural sectors in Europe, with a strong business plan and the support of a large number of committed industry leaders and end-users, ensuring a rapid market deployment. Market penetration will be boosted by the SMEs already active in the robotics and viticulture sectors, reinforced by strategic tradeshows and international conferences. As a result, we target a cumulative turnover of €33 Million in five years yielding €10.9 Million of industrial benefits, reaching a market adoption of 5% which will provide service to 54,540 ha of EU vineyard area. In addition, VineScout technology will attract young farmers to rural areas, which is becoming crucial for the sustainability of the sector since current farming population is near retirement age. The practical adoption of robotics in agriculture will create employment, in part with the advent of new industries related to ICT, precision management, and data interpretation.

 Deliverables

List of deliverables.
D1.1: Deployment of prototypes. Demonstrators, pilots, prototypes 2019-11-26 12:21:36
D2.1: Construction and assembly of the electronic systems. Demonstrators, pilots, prototypes 2019-11-26 12:21:36
D5.2: Testimony of Agronomy Days. Documents, reports 2019-11-26 12:21:36
D7.1:Project website. Websites, patent fillings, videos etc. 2019-11-26 12:21:36
D8.2: Official progress report (technical and financial). Documents, reports 2019-11-26 12:21:36
D7.2: Release of professional videos. Websites, patent fillings, videos etc. 2019-11-26 12:21:36

Take a look to the deliverables list in detail:  detailed list of VineScout deliverables.

 Publications

year authors and title journal last update
List of publications.
2020 Verónica Saiz-Rubio, Francisco Rovira-Más
From Smart Farming towards Agriculture 5.0: A Review on Crop Data Management
published pages: 207, ISSN: 2073-4395, DOI: 10.3390/agronomy10020207
Agronomy 10/2 2020-02-13
2019 Fernández-Novales, Tardáguila, Gutiérrez, Paz Diago
On-The-Go VIS + SW − NIR Spectroscopy as a Reliable Monitoring Tool for Grape Composition within the Vineyard
published pages: 2795, ISSN: 1420-3049, DOI: 10.3390/molecules24152795
Molecules 24/15 2020-01-30
2017 Juan FERNÁNDEZ-NOVALES, Salvador GUTIÉRREZ, Maria Paz DIAGO
Vineyard water status assessment by non-destructive, proximal, NIR spectroscopy
published pages: , ISSN: , DOI:
Biennial 2019-11-26
2017 Veronica Saiz-Rubio, Francisco Rovira-M�s, Christophe Millot
<i>Performance Improvement of a Vineyard Robot through its Mechanical Design</i>
published pages: , ISSN: , DOI: 10.13031/aim.201701120
2017 Spokane, Washington July 16 - July 19, 2017 Annual 2019-11-26

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The information about "VINESCOUT" are provided by the European Opendata Portal: CORDIS opendata.

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