Intelligent decision from vineyard robots

Informacje na temat projektu

VineScout

Identyfikator umowy o grant: 737669

DOI 10.3030/737669

Projekt został zamknięty

Data podpisania przez KE 21 Października 2016

Data rozpoczęcia 1 Grudnia 2016

Data zakończenia 30 Listopada 2020

Finansowanie w ramach

• Horizon 2020 Framework Programme

Koszt całkowity € 2 125 081,25

Wkład UE € 1 741 225,63

Koordynowany przez

UNIVERSITAT POLITECNICA DE VALENCIA
Spain

Rezultaty

Websites, patent fillings, videos etc. (3)

D7.2: Release of professional videos.

Release of professional videos.

D7.2b: Release of professional videos.

Release of professional videos.

D7.1:Project website.

Project website.

Documents, reports (4)

D5.2: Testimony of Agronomy Days.

Testimony of Agronomy Days.

D4.2: Operator manual.

Operator manual.

D7.3: Report on dissemination activities.

Report on dissemination activities.

D8.2: Official progress report (technical and financial).

Official progress report (technical and financial).

Demonstrators, pilots, prototypes (2)

D2.1: Construction and assembly of the electronic systems.
D1.1: Deployment of prototypes.

Deployment of VineScout prototypes.

Publikacje

Conference proceedings (3)

Vineyard water status assessment by non-destructive, proximal, NIR spectroscopy

Autorzy: Juan FERNÁNDEZ-NOVALES, Salvador GUTIÉRREZ, Maria Paz DIAGO
Opublikowane w: Numer Biennial, 2017
Wydawca: GiESCO

<i>Performance Improvement of a Vineyard Robot through its Mechanical Design</i>

Autorzy: Veronica Saiz-Rubio, Francisco Rovira-M�s, Christophe Millot
Opublikowane w: 2017 Spokane, Washington July 16 - July 19, 2017, Numer Annual, 2017
Wydawca: American Society of Agricultural and Biological Engineers
DOI: 10.13031/aim.201701120

VINESCOUT: A VINEYARD AUTONOMOUS ROBOT FOR ON-THE-GO ASSESSMENT OF GRAPEVINE VIGOUR AND WATER STATUS

Autorzy: V. Saiz-Rubio, F. Rovira-Mas, M.P. Diago, J. Fernandez-Novales, I. Barrio, A. Cuenca, F. Alves, J. Valente, and J. Tardaguila
Opublikowane w: THE 12th EUROPEAN CONFERENCE ON PRECISION AGRICULTURE (ECPA2019), Numer Annual, 2019, Strona(/y) 164-165, ISBN 978-2-900792-49-0
Wydawca: SupAgro Montpellier

Peer reviewed articles (5)

On-the-go hyperspectral imaging for the in-field estimation of grape berry soluble solids and anthocyanin concentration

Autorzy: S. Gutiérrez, J. Tardaguila, J. Fernández-Novales, M.P. Diago
Opublikowane w: Australian Journal of Grape and Wine Research, Numer 25/1, 2019, Strona(/y) 127-133, ISSN 1322-7130
Wydawca: Australian Society of Viticulture and Oenology
DOI: 10.1111/ajgw.12376

On-The-Go VIS + SW − NIR Spectroscopy as a Reliable Monitoring Tool for Grape Composition within the Vineyard

Autorzy: Fernández-Novales, Tardáguila, Gutiérrez, Paz Diago
Opublikowane w: Molecules, Numer 24/15, 2019, Strona(/y) 2795, ISSN 1420-3049
Wydawca: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/molecules24152795

On-The-Go Hyperspectral Imaging Under Field Conditions and Machine Learning for the Classification of Grapevine Varieties

Autorzy: Salvador Gutiérrez, Juan Fernández-Novales, Maria P. Diago, Javier Tardaguila
Opublikowane w: Frontiers in Plant Science, Numer 9, 2018, ISSN 1664-462X
Wydawca: Frontiers Media S. A.
DOI: 10.3389/fpls.2018.01102

From Smart Farming towards Agriculture 5.0: A Review on Crop Data Management

Autorzy: Verónica Saiz-Rubio, Francisco Rovira-Más
Opublikowane w: Agronomy, Numer 10/2, 2020, Strona(/y) 207, ISSN 2073-4395
Wydawca: MDPI
DOI: 10.3390/agronomy10020207

Augmented Perception for Agricultural Robots Navigation

Autorzy: Francisco Rovira-Mas, Veronica Saiz-Rubio, Andres Cuenca-Cuenca
Opublikowane w: IEEE Sensors Journal, Numer frequency: 24, 2020, Strona(/y) 1-1, ISSN 1530-437X
Wydawca: Institute of Electrical and Electronics Engineers
DOI: 10.1109/jsen.2020.3016081

Non-peer reviewed articles (1)

On-the-go thermal imaging for water status assessment in commercial vineyards

Autorzy: S. Gutiérrez, M. P. Diago, J. Fernández-Novales, J. Tardaguila
Opublikowane w: Advances in Animal Biosciences, Numer 8/2, 2017, Strona(/y) 520-524, ISSN 2040-4700
Wydawca: Cambridge University Press
DOI: 10.1017/s204047001700108x