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Vineyard water status assessment using on-the-go thermal imaging and machine learning

PloS one, 2018-02, Vol.13 (2), p.e0192037-e0192037

2018

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Support Vector Machine and Artificial Neural Network Models for the Classification of Grapevine Varieties Using a Portable NIR Spectrophotometer

PloS one, 2015-11, Vol.10 (11), p.e0143197-e0143197

2015

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Assessment of vineyard water status variability by thermal and multispectral imagery using an unmanned aerial vehicle (UAV)

Irrigation science, 2012-11, Vol.30 (6), p.511-522

2012

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Automated grapevine flower detection and quantification method based on computer vision and deep learning from on-the-go imaging using a mobile sensing platform under field conditions

Computers and electronics in agriculture, 2020-11, Vol.178, p.105796, Article 105796

2020

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Editorial: Resilience of grapevine to climate change: from plant physiology to adaptation strategies, volume II

Frontiers in plant science, 2023-08, Vol.14, p.1268158-1268158

2023

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A Non-Invasive Method Based on Computer Vision for Grapevine Cluster Compactness Assessment Using a Mobile Sensing Platform under Field Conditions

Sensors (Basel, Switzerland), 2019-09, Vol.19 (17), p.3799

2019

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Editorial: Resilience of grapevine to climate change: From plant physiology to adaptation strategies

Frontiers in plant science, 2022-08, Vol.13, p.994267-994267

2022

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

Frontiers in plant science, 2018-07, Vol.9, p.1102-1102

2018

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Using RPAS Multi-Spectral Imagery to Characterise Vigour, Leaf Development, Yield Components and Berry Composition Variability within a Vineyard

Remote sensing (Basel, Switzerland), 2015, Vol.7 (11), p.14458-14481

2015

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Validation of thermal indices for water status identification in grapevine

Agricultural water management, 2014-03, Vol.134, p.60-72

2014

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Data Mining and NIR Spectroscopy in Viticulture: Applications for Plant Phenotyping under Field Conditions

Sensors (Basel, Switzerland), 2016-02, Vol.16 (2), p.236-236

2016

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Development and Validation of a New Methodology to Assess the Vineyard Water Status by On-the-Go Near Infrared Spectroscopy

Frontiers in plant science, 2018-01, Vol.9, p.59

2018

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Impact of Prebloom and Fruit Set Basal Leaf Removal on the Flavonol and Anthocyanin Composition of Tempranillo Grapes

American journal of enology and viticulture, 2012-09, Vol.63 (3), p.367-376

2012

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Stochastic gravito-inertial modes discovered by CoRoT in the hot Be star HD 51452

Astronomy and astrophysics (Berlin), 2012-10, Vol.546, p.A47

2012

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Impact of Early Leaf Removal on Yield and Fruit and Wine Composition of Vitis vinifera L. Graciano and Carignan

American journal of enology and viticulture, 2010-01, Vol.61 (3), p.372-381

2010

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Effects of UV exclusion on the physiology and phenolic composition of leaves and berries of Vitis vinifera cv. Graciano

Journal of the science of food and agriculture, 2015-01, Vol.95 (2), p.409-416

2015

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Effects of Timing of Manual and Mechanical Early Defoliation on the Aroma of Vitis vinifera L. Tempranillo Wine

American journal of enology and viticulture, 2010-01, Vol.61 (3), p.382-391

2010

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Effects of ambient solar UV radiation on grapevine leaf physiology and berry phenolic composition along one entire season under Mediterranean field conditions

Plant physiology and biochemistry, 2016-12, Vol.109, p.374-386

2016

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Quantifying spatio-temporal variation of leaf chlorophyll and nitrogen contents in vineyards

Biosystems engineering, 2016-10, Vol.150, p.201-213

2016

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Development of a low-cost IoT system based on LoRaWAN for monitoring variables related to electrical energy consumption in low voltage networks

HardwareX, 2022-10, Vol.12, p.e00330-e00330, Article e00330

2022

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Smart applications and digital technologies in viticulture: A review

Smart agricultural technology, 2021-12, Vol.1, p.100005, Article 100005

2021

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Assessment of the spatial variability of anthocyanins in grapes using a fluorescence sensor: relationships with vine vigour and yield

Precision agriculture, 2012-08, Vol.13 (4), p.457-472

2012

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Photometric and spectroscopic variability of the B5IIIe star HD 171219

Astronomy and astrophysics (Berlin), 2017-07, Vol.603, p.A41

2017

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Automatic discrimination of grapevine (Vitis vinifera L.) clones using leaf hyperspectral imaging and partial least squares

The Journal of agricultural science, 2015-04, Vol.153 (3), p.455-465

2015

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Early yield prediction in different grapevine varieties using computer vision and machine learning

Precision agriculture, 2023-04, Vol.24 (2), p.407-435

2023

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Vineyard water status assessment using on-the-go thermal imaging and machine learning

Support Vector Machine and Artificial Neural Network Models for the Classification of Grapevine Varieties Using a Portable NIR Spectrophotometer

Assessment of vineyard water status variability by thermal and multispectral imagery using an unmanned aerial vehicle (UAV)

Automated grapevine flower detection and quantification method based on computer vision and deep learning from on-the-go imaging using a mobile sensing platform under field conditions

Editorial: Resilience of grapevine to climate change: from plant physiology to adaptation strategies, volume II

A Non-Invasive Method Based on Computer Vision for Grapevine Cluster Compactness Assessment Using a Mobile Sensing Platform under Field Conditions

Editorial: Resilience of grapevine to climate change: From plant physiology to adaptation strategies

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

Using RPAS Multi-Spectral Imagery to Characterise Vigour, Leaf Development, Yield Components and Berry Composition Variability within a Vineyard

Validation of thermal indices for water status identification in grapevine

Data Mining and NIR Spectroscopy in Viticulture: Applications for Plant Phenotyping under Field Conditions

Development and Validation of a New Methodology to Assess the Vineyard Water Status by On-the-Go Near Infrared Spectroscopy

Impact of Prebloom and Fruit Set Basal Leaf Removal on the Flavonol and Anthocyanin Composition of Tempranillo Grapes

Stochastic gravito-inertial modes discovered by CoRoT in the hot Be star HD 51452

Impact of Early Leaf Removal on Yield and Fruit and Wine Composition of Vitis vinifera L. Graciano and Carignan

Effects of UV exclusion on the physiology and phenolic composition of leaves and berries of Vitis vinifera cv. Graciano

Effects of Timing of Manual and Mechanical Early Defoliation on the Aroma of Vitis vinifera L. Tempranillo Wine

Effects of ambient solar UV radiation on grapevine leaf physiology and berry phenolic composition along one entire season under Mediterranean field conditions

Quantifying spatio-temporal variation of leaf chlorophyll and nitrogen contents in vineyards

Development of a low-cost IoT system based on LoRaWAN for monitoring variables related to electrical energy consumption in low voltage networks

Smart applications and digital technologies in viticulture: A review

Assessment of the spatial variability of anthocyanins in grapes using a fluorescence sensor: relationships with vine vigour and yield

Photometric and spectroscopic variability of the B5IIIe star HD 171219

Automatic discrimination of grapevine (Vitis vinifera L.) clones using leaf hyperspectral imaging and partial least squares

Early yield prediction in different grapevine varieties using computer vision and machine learning

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