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Intelligent decision from vineyard robots

CORDIS provides links to public deliverables and publications of HORIZON projects.

Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Deliverables

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).

Publications

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

Author(s): Juan FERNÁNDEZ-NOVALES, Salvador GUTIÉRREZ, Maria Paz DIAGO
Published in: Issue Biennial, 2017
Publisher: GiESCO

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

Author(s): Veronica Saiz-Rubio, Francisco Rovira-M�s, Christophe Millot
Published in: 2017 Spokane, Washington July 16 - July 19, 2017, Issue Annual, 2017
Publisher: 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

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

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

Author(s): S. Gutiérrez, J. Tardaguila, J. Fernández-Novales, M.P. Diago
Published in: Australian Journal of Grape and Wine Research, Issue 25/1, 2019, Page(s) 127-133, ISSN 1322-7130
Publisher: 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

Author(s): Fernández-Novales, Tardáguila, Gutiérrez, Paz Diago
Published in: Molecules, Issue 24/15, 2019, Page(s) 2795, ISSN 1420-3049
Publisher: 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

Author(s): Salvador Gutiérrez, Juan Fernández-Novales, Maria P. Diago, Javier Tardaguila
Published in: Frontiers in Plant Science, Issue 9, 2018, ISSN 1664-462X
Publisher: Frontiers Media S. A.
DOI: 10.3389/fpls.2018.01102

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

Author(s): Verónica Saiz-Rubio, Francisco Rovira-Más
Published in: Agronomy, Issue 10/2, 2020, Page(s) 207, ISSN 2073-4395
Publisher: MDPI
DOI: 10.3390/agronomy10020207

Augmented Perception for Agricultural Robots Navigation

Author(s): Francisco Rovira-Mas, Veronica Saiz-Rubio, Andres Cuenca-Cuenca
Published in: IEEE Sensors Journal, Issue frequency: 24, 2020, Page(s) 1-1, ISSN 1530-437X
Publisher: Institute of Electrical and Electronics Engineers
DOI: 10.1109/jsen.2020.3016081

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

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

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