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.

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

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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