Assessment of vineyard water status variability by thermal and multispectral imagery using an unmanned aerial vehicle (UAV) von Baluja, Javier, Diago, Maria P., Balda, Pedro, Zorer, Roberto, Meggio, Franco, Morales, Fermin, Tardaguila, Javier

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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 conditi... von Palacios, Fernando, Bueno, Gloria, Salido, Jesús, Diago, Maria P., Hernández, Inés, Tardaguila, Javier

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On-The-Go Hyperspectral Imaging Under Field Conditions and Machine Learning for the Classification of Grapevine Varieties von Gutiérrez, Salvador, Fernández-Novales, Juan, Diago, Maria P, Tardaguila, Javier

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Editorial: Resilience of grapevine to climate change: from plant physiology to adaptation strategies, volume II von Frioni, Tommaso, Pastore, Chiara, Diago, Maria P.

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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 von Palacios, Fernando, Diago, Maria P, Tardaguila, Javier

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Editorial: Resilience of grapevine to climate change: From plant physiology to adaptation strategies von Pastore, Chiara, Frioni, Tommaso, Diago, Maria P.

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Validation of thermal indices for water status identification in grapevine von Pou, Alícia, Diago, Maria P., Medrano, Hipólito, Baluja, Javier, Tardaguila, Javier

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Data Mining and NIR Spectroscopy in Viticulture: Applications for Plant Phenotyping under Field Conditions von Gutiérrez, Salvador, Tardaguila, Javier, Fernández-Novales, Juan, Diago, Maria P

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Development and Validation of a New Methodology to Assess the Vineyard Water Status by On-the-Go Near Infrared Spectroscopy von Diago, Maria P, Fernández-Novales, Juan, Gutiérrez, Salvador, Marañón, Miguel, Tardaguila, Javier

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Quantifying spatio-temporal variation of leaf chlorophyll and nitrogen contents in vineyards von Rey-Caramés, Clara, Tardaguila, Javier, Sanz-Garcia, Andres, Chica-Olmo, Mario, Diago, María P.

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Vineyard water status assessment using on-the-go thermal imaging and machine learning von Gutiérrez, Salvador, Diago, María P, Fernández-Novales, Juan, Tardaguila, Javier

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Thermography, Temperature, Pressure Force Distribution and Physical Activity in Diabetic Foot: A Systematic Review von Rosell-Diago, Maria P, Izquierdo-Renau, Marta, Julian-Rochina, Iván, Arrébola, Manel, Miralles, Manuel

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Early yield prediction in different grapevine varieties using computer vision and machine learning von Palacios, Fernando, Diago, Maria P., Melo-Pinto, Pedro, Tardaguila, Javier

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Estimation of total soluble solids in grape berries using a hand-held NIR spectrometer under field conditions von Urraca, Ruben, Sanz-Garcia, Andres, Tardaguila, Javier, Diago, Maria P

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Support Vector Machine and Artificial Neural Network Models for the Classification of Grapevine Varieties Using a Portable NIR Spectrophotometer von Gutiérrez, Salvador, Tardaguila, Javier, Fernández-Novales, Juan, Diago, María P

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Image analysis‐based modelling for flower number estimation in grapevine von Millan, Borja, Aquino, Arturo, Diago, Maria P, Tardaguila, Javier

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Smart applications and digital technologies in viticulture: A review von Tardaguila, Javier, Stoll, Manfred, Gutiérrez, Salvador, Proffitt, Tony, Diago, Maria P.

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Use of Visible and Short-Wave Near-Infrared Hyperspectral Imaging To Fingerprint Anthocyanins in Intact Grape Berries von Diago, Maria P., Fernández-Novales, Juan, Fernandes, Armando M., Melo-Pinto, Pedro, Tardaguila, Javier

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Using RPAS Multi-Spectral Imagery to Characterise Vigour, Leaf Development, Yield Components and Berry Composition Variability within a Vineyard von Rey-Carames, Clara, Diago, Maria P, Martin, M Pilar, Lobo, Agustin, Tardaguila, Javier

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Assessment of flower number per inflorescence in grapevine by image analysis under field conditions von Diago, Maria P, Sanz‐Garcia, Andres, Millan, Borja, Blasco, Jose, Tardaguila, Javier

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