Salvador Gutiérrez Salcedo
Contact
salvaguti@dec6qJS6JPNrsb7sai.ugr.es
Organization
UGR| Total | From 2018: | |
|---|---|---|
| Citas | Total: 703 | From 2018: 676 |
| Índice H | Total: 14 | From 2018: 14 |
| Índice i10 | Total: 18 | From 2018: 17 |
Papers (45)
| Title | Authors | Year |
|---|---|---|
| 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 |
| 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 |
| 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 |
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