Salvador Gutiérrez Salcedo

Categoría

Doctor

Contacto

salvador.gutierrez@ucaNJzRay.es

Organismo

UCA

Researcher Profile

Total Desde 2016:
Citas Total: 318 Desde 2016: 316
Índice H Total: 10 Desde 2016: 10
Índice i10 Total: 10 Desde 2016: 10

Publicaciones (36)

Título Autores Año
Deep learning for the differentiation of downy mildew and spider mite in grapevine under field conditions S Gutiérrez, I Hernández, S Ceballos, I Barrio, AM Díez-Navajas, .... 2021
Impact of Leaf Occlusions on Yield Assessment by Computer Vision in Commercial Vineyards R Íñiguez, F Palacios, I Barrio, I Hernández, S Gutiérrez, J Tardaguila. 2021
Assessing and mapping vineyard water status using a ground mobile thermal imaging platform S Gutiérrez, J Fernández-Novales, MP Diago, R Iñiguez, J Tardaguila. 2021
Smart applications and digital technologies in viticulture: A review J Tardaguila, M Stoll, S Gutiérrez, T Proffitt, MP Diago. 2021
Artificial Intelligence and Novel Sensing Technologies for Assessing Downy Mildew in Grapevine I Hernández, S Gutiérrez, S Ceballos, R Iñíguez, I Barrio, J Tardaguila. 2021
Prospects of thermal imaging as a non-invasive tool to assess water status for irrigation scheduling in commercial vineyards J Tardáguila, MP Diago, J Fernández-Novales, I Hernández, S Gutiérrez, .... 2020
Ground based hyperspectral imaging for extensive mango yield estimation S Gutiérrez, A Wendel, J Underwood. 2019
On‐the‐go hyperspectral imaging for the in‐field estimation of grape berry soluble solids and anthocyanin concentration S Gutiérrez, J Tardáguila, J Fernández‐Novales, MP Diago. 2019
Spectral filter design based on in-field hyperspectral imaging and machine learning for mango ripeness estimation S Gutiérrez, A Wendel, J Underwood. 2019
On-The-Go VIS+ SW− NIR spectroscopy as a reliable monitoring tool for grape composition within the vineyard J Fernández-Novales, J Tardáguila, S Gutiérrez, MP Diago. 2019
Hyperspectral imaging application under field conditions: assessment of the spatio-temporal variability of grape composition within a vineyard S Gutierrez, MP Diago, J Fernandez-Novales, J Tardaguila. 2019
Vineyard water status assessment using on-the-go thermal imaging and machine learning S Gutiérrez, MP Diago, J Fernández-Novales, J Tardaguila. 2018
On-the-go hyperspectral imaging under field conditions and machine learning for the classification of grapevine varieties S Gutiérrez, J Fernández-Novales, MP Diago, J Tardaguila. 2018
Development and validation of a new methodology to assess the vineyard water status by on-the-go near infrared spectroscopy MP Diago, J Fernández-Novales, S Gutiérrez, M Marañón, J Tardaguila. 2018
In field quantification and discrimination of different vineyard water regimes by on-the-go NIR spectroscopy J Fernández-Novales, J Tardaguila, S Gutiérrez, M Marañón, MP Diago. 2018
Non‐destructive assessment of grapevine water status in the field using a portable NIR spectrophotometer J Tardaguila, J Fernández‐Novales, S Gutiérrez, MP Diago. 2017
On-the-go thermal imaging for water status assessment in commercial vineyards S Gutiérrez, MP Diago, J Fernández-Novales, J Tardaguila. 2017
Vineyard water status assessment by non-destructive, proximal, NIR spectroscopy J Fernández-Novales, S Gutiérrez, A Gonzalo-Diago. 2017
Landmark-based music recognition system optimisation using genetic algorithms S Gutiérrez, S García. 2016
Data mining and NIR spectroscopy in viticulture: applications for plant phenotyping under field conditions S Gutiérrez, J Tardaguila, J Fernández-Novales, MP Diago. 2016
Near infrared spectroscopy and data mining: classification of grapevine varieties S Gutiérrez, J Tardáguila, J Fernández-Novales, MP Diago. 2016
Vineyard water status estimation with near infrared spectroscopy and data mining S Gutiérrez, J Tardáguila, J Fernández-Novales, MP Diago. 2016
A new app for smartphones to count the number of flowers per inflorescence under field conditions MP Diago, A Aquino, S Gutiérrez, D Gastón, B Millán Prior. 2016
NIR attribute selection for vineyard water status modelling M Marañón Grandes, J Fernández-Novales, S Gutiérrez, J Tardáguila, .... 2016
Boolean Model for Grapevine Yield Estimation on 2D Images Taken Under Field conditions B Millán Prior, A Aquino, MP Diago, J Fernández-Novales, S Gutiérrez, .... 2016
Grape Segmentation in Vine Images Automatically Taken with a Modified Ground A Aquino, B Millán Prior, MP Diago, J Fernández-Novales, S Gutiérrez, .... 2016
Uso de la espectroscopía NIR como herramienta de monitorización no invasiva del estado hídrico del viñedo MP Diago, J Fernández-Novales, S Gutiérrez, M Marañón Grandes, .... 2016
Assessing Grapevine Canopy Gaps from On-The-Go Image Vision MP Diago, A Aquino, B Millán Prior, I Barrio Fernández, .... 2016
Vineyard Water Monitoring Using Models Based on Thermal Imaging S Gutiérrez, J Fernández-Novales, B Millán Prior, A Aquino, J Tardáguila, .... 2016
Developing NIR models for the on-the-go estimation of vineyard water status J Fernández-Novales, M Marañón Grandes, S Gutiérrez, J Tardáguila, .... 2016
Support vector machine and artificial neural network models for the classification of grapevine varieties using a portable NIR spectrophotometer S Gutiérrez, J Tardaguila, J Fernández-Novales, MP Diago. 2015
Grapevine flower estimation by applying artificial vision techniques on images with uncontrolled scene and multi-model analysis A Aquino, B Millan, S Gutiérrez, J Tardáguila. 2015
Data mining and non-invasive proximal sensing for precision viticulture S Gutiérrez, J Tardaguila, J Fernández-Novales, MP Diago. 2015
In-field assessment of grapevine water status using a portable NIR spectrophotometer J Fernández-Novales, S Gutiérrez, J Tardáguila, B Millan, MP Diago. 2015
Original data from manuscript entitled: Support Vector Machine and Artificial Neural Network Models for the Classification of Grapevine Varieties Using a Portable NIR … S Gutiérrez, J Tardáguila, J Fernández-Novales, MP Diago. 2015

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