Intelligent decision from vineyard robots

Informations projet

VineScout

N° de convention de subvention: 737669

DOI 10.3030/737669

Projet clôturé

Date de signature de la CE 21 Octobre 2016

Date de début 1 Decembre 2016

Date de fin 30 Novembre 2020

Financé au titre de

• Horizon 2020 Framework Programme

Coût total € 2 125 081,25

Contribution de l’UE € 1 741 225,63

Coordonné par

UNIVERSITAT POLITECNICA DE VALENCIA
Spain

Livrables

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.

Publications

Conference proceedings (3)

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

Auteurs: Juan FERNÁNDEZ-NOVALES, Salvador GUTIÉRREZ, Maria Paz DIAGO
Publié dans: Numéro Biennial, 2017
Éditeur: GiESCO

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

Auteurs: Veronica Saiz-Rubio, Francisco Rovira-M�s, Christophe Millot
Publié dans: 2017 Spokane, Washington July 16 - July 19, 2017, Numéro Annual, 2017
Éditeur: 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

Auteurs: V. Saiz-Rubio, F. Rovira-Mas, M.P. Diago, J. Fernandez-Novales, I. Barrio, A. Cuenca, F. Alves, J. Valente, and J. Tardaguila
Publié dans: THE 12th EUROPEAN CONFERENCE ON PRECISION AGRICULTURE (ECPA2019), Numéro Annual, 2019, Page(s) 164-165, ISBN 978-2-900792-49-0
Éditeur: SupAgro Montpellier

Peer reviewed articles (5)

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

Auteurs: S. Gutiérrez, J. Tardaguila, J. Fernández-Novales, M.P. Diago
Publié dans: Australian Journal of Grape and Wine Research, Numéro 25/1, 2019, Page(s) 127-133, ISSN 1322-7130
Éditeur: 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

Auteurs: Fernández-Novales, Tardáguila, Gutiérrez, Paz Diago
Publié dans: Molecules, Numéro 24/15, 2019, Page(s) 2795, ISSN 1420-3049
Éditeur: 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

Auteurs: Salvador Gutiérrez, Juan Fernández-Novales, Maria P. Diago, Javier Tardaguila
Publié dans: Frontiers in Plant Science, Numéro 9, 2018, ISSN 1664-462X
Éditeur: Frontiers Media S. A.
DOI: 10.3389/fpls.2018.01102

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

Auteurs: Verónica Saiz-Rubio, Francisco Rovira-Más
Publié dans: Agronomy, Numéro 10/2, 2020, Page(s) 207, ISSN 2073-4395
Éditeur: MDPI
DOI: 10.3390/agronomy10020207

Augmented Perception for Agricultural Robots Navigation

Auteurs: Francisco Rovira-Mas, Veronica Saiz-Rubio, Andres Cuenca-Cuenca
Publié dans: IEEE Sensors Journal, Numéro frequency: 24, 2020, Page(s) 1-1, ISSN 1530-437X
Éditeur: 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

Auteurs: S. Gutiérrez, M. P. Diago, J. Fernández-Novales, J. Tardaguila
Publié dans: Advances in Animal Biosciences, Numéro 8/2, 2017, Page(s) 520-524, ISSN 2040-4700
Éditeur: Cambridge University Press
DOI: 10.1017/s204047001700108x