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Intelligent decision from vineyard robots

Risultati finali

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).

Pubblicazioni

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

Autori: Juan FERNÁNDEZ-NOVALES, Salvador GUTIÉRREZ, Maria Paz DIAGO
Pubblicato in: Numero Biennial, 2017
Editore: GiESCO

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

Autori: Veronica Saiz-Rubio, Francisco Rovira-M�s, Christophe Millot
Pubblicato in: 2017 Spokane, Washington July 16 - July 19, 2017, Numero Annual, 2017
Editore: 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

Autori: V. Saiz-Rubio, F. Rovira-Mas, M.P. Diago, J. Fernandez-Novales, I. Barrio, A. Cuenca, F. Alves, J. Valente, and J. Tardaguila
Pubblicato in: THE 12th EUROPEAN CONFERENCE ON PRECISION AGRICULTURE (ECPA2019), Numero Annual, 2019, Pagina/e 164-165, ISBN 978-2-900792-49-0
Editore: SupAgro Montpellier

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

Autori: S. Gutiérrez, J. Tardaguila, J. Fernández-Novales, M.P. Diago
Pubblicato in: Australian Journal of Grape and Wine Research, Numero 25/1, 2019, Pagina/e 127-133, ISSN 1322-7130
Editore: 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

Autori: Fernández-Novales, Tardáguila, Gutiérrez, Paz Diago
Pubblicato in: Molecules, Numero 24/15, 2019, Pagina/e 2795, ISSN 1420-3049
Editore: 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

Autori: Salvador Gutiérrez, Juan Fernández-Novales, Maria P. Diago, Javier Tardaguila
Pubblicato in: Frontiers in Plant Science, Numero 9, 2018, ISSN 1664-462X
Editore: Frontiers Media S. A.
DOI: 10.3389/fpls.2018.01102

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

Autori: Verónica Saiz-Rubio, Francisco Rovira-Más
Pubblicato in: Agronomy, Numero 10/2, 2020, Pagina/e 207, ISSN 2073-4395
Editore: MDPI
DOI: 10.3390/agronomy10020207

Augmented Perception for Agricultural Robots Navigation

Autori: Francisco Rovira-Mas, Veronica Saiz-Rubio, Andres Cuenca-Cuenca
Pubblicato in: IEEE Sensors Journal, Numero frequency: 24, 2020, Pagina/e 1-1, ISSN 1530-437X
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/jsen.2020.3016081

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

Autori: S. Gutiérrez, M. P. Diago, J. Fernández-Novales, J. Tardaguila
Pubblicato in: Advances in Animal Biosciences, Numero 8/2, 2017, Pagina/e 520-524, ISSN 2040-4700
Editore: Cambridge University Press
DOI: 10.1017/s204047001700108x

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