Salvador Gutiérrez Salcedo

Contact

salvaguti@decsai.uKtUR1Txhgr.es

Organization

UGR

Researcher Profile

Total From 2019:
Citas Total: 834 From 2019: 749
Índice H Total: 15 From 2019: 15
Índice i10 Total: 18 From 2019: 17

Papers (49)

Title Authors Year
Image analysis with deep learning for early detection of downy mildew in grapevine I Hernández, S Gutiérrez, J Tardaguila. 2024
NIR attribute selection for the development of vineyard water status predictive models M Marañón, J Fernández-Novales, J Tardaguila, S Gutiérrez, MP Diago. 2023
Multi-sensor spectral fusion to model grape composition using deep learning S Gutiérrez, J Fernández-Novales, T Garde-Cerdán, S Marín-San Román, .... 2023
Evolutionary conditional GANs for supervised data augmentation: The case of assessing berry number per cluster in grapevine S Gutiérrez, J Tardaguila. 2023
Perilesional edema diameter associated with brain metastases as a predictive factor of response to radiotherapy in non-small cell lung cancer O Arrieta, LM Bolaño-Guerra, E Caballé-Pérez, L Lara-Mejía, JG Turcott, .... 2023
Inteligencia artificial y visión por ordenador para evaluar los componentes del rendimiento de la vid en viñedos comerciales R Íñiguez, C Poblete-Echeverría, I Hernández, S Gutiérrez, I Barrio, .... 2023
Using artificial intelligence (AI) for grapevine disease detection based on images C Poblete-Echeverría, I Hernández, S Gutiérrez, R Iñiguez, I Barrio, .... 2023
Assessment of downy mildew in grapevine using computer vision and fuzzy logic. Development and validation of a new method I Hernández, S Gutiérrez, S Ceballos, F Palacios, SL Toffolatti, .... 2022
ATOPE+: Supporting Personalized Exercise Interventions in Breast Cancer Care using Mobile Technologies and Machine Learning SM Gutiérrez, OB Legrán, MD Hermoso. 2022
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
Impact of Leaf Occlusions on Yield Assessment by Computer Vision in Commercial Vineyards. Agronomy 2021, 11, 1003 R Íñiguez, F Palacios, I Barrio, I Hernández, S Gutiérrez, 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
Physical requirements for vineyard monitoring robots V Saiz-Rubio, M Diago, F Rovira-Más, A Cuenca, S Gutiérrez, .... 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
Optical flow and scale-space theory applied to seaice motion estimation S Gutiérrez, DG Long. 2003

Descargando datos de la publicación