Salvador Gutiérrez Salcedo

Universidad de Granada

Publicaciones

NIR attribute selection for the development of vineyard water status predictive models
AUTHORS: Miguel Marañón; Juan Fernández-Novales; Javier Tardaguila; Salvador Gutiérrez; Maria P. Diago

Biosystems Engineering

Assessment of downy mildew in grapevine using computer vision and fuzzy logic. Development and validation of a new method
AUTHORS: Hernández, I.; Gutiérrez, S.; Ceballos, S.; Palacios, F.; Toffolatti, S.L.; Maddalena, G.; Diago, M.P.; Tardaguila, J.

Oeno One

Artificial intelligence and novel sensing technologies for assessing downy mildew in grapevine
AUTHORS: Hernández, I.; Gutiérrez, S.; Ceballos, S.; Iñíguez, R.; Barrio, I.; Tardaguila, J.

Horticulturae

Assessing and mapping vineyard water status using a ground mobile thermal imaging platform
AUTHORS: Gutiérrez, S.; Fernández-Novales, J.; Diago, M.-P.; Iñiguez, R.; Tardaguila, J.

Irrigation Science

Deep learning for the differentiation of downy mildew and spider mite in grapevine under field conditions
AUTHORS: Gutiérrez, S.; Hernández, I.; Ceballos, S.; Barrio, I.; Díez-Navajas, A.M.; Tardaguila, J.

Computers and Electronics in Agriculture

Impact of leaf occlusions on yield assessment by computer vision in commercial vineyards
AUTHORS: Íñiguez, R.; Palacios, F.; Barrio, I.; Hernández, I.; Gutiérrez, S.; Tardaguila, J.

Agronomy

Ground based hyperspectral imaging for extensive mango yield estimation
AUTHORS: Gutiérrez, S.; Wendel, A.; Underwood, J.

Computers and Electronics in Agriculture

Hyperspectral imaging application under field conditions: Assessment of the spatio-temporal variability of grape composition within a vineyard
AUTHORS: Gutierrez, S.; Diago, M.P.; Fernandez-Novales, J.; Tardaguila, J.

Precision Agriculture 2019 - Papers Presented at the 12th European Conference on Precision Agriculture, ECPA 2019

On-The-Go VIS + SW – NIR Spectroscopy as a Reliable Monitoring Tool for Grape Composition within the Vineyard
AUTHORS: Fernández-Novales, J.; Tardáguila, J.; Gutiérrez, S.; Paz Diago, M.

Molecules (Basel, Switzerland)

Spectral filter design based on in-field hyperspectral imaging and machine learning for mango ripeness estimation
AUTHORS: Gutiérrez, S.; Wendel, A.; Underwood, J.

Computers and Electronics in Agriculture

Development and validation of a new methodology to assess the vineyard water status by on-the-go near infrared spectroscopy
AUTHORS: Diago, M.P.; Fernández-Novales, J.; Gutiérrez, S.; Marañón, M.; Tardaguila, J.

Frontiers in Plant Science

In field quantification and discrimination of different vineyard water regimes by on-the-go NIR spectroscopy
AUTHORS: Fernández-Novales, J.; Tardaguila, J.; Gutiérrez, S.; Marañón, M.; Diago, M.P.

Biosystems Engineering

On-the-go hyperspectral imaging for the in-field estimation of grape berry soluble solids and anthocyanin concentration
AUTHORS: Gutiérrez, S.; Tardaguila, J.; Fernández-Novales, J.; Diago, M.P.

Australian Journal of Grape and Wine Research

On-the-go hyperspectral imaging under field conditions and machine learning for the classification of grapevine varieties
AUTHORS: Gutiérrez, S.; Fernández-Novales, J.; Diago, M.P.; Tardaguila, J.

Frontiers in Plant Science

Vineyard water status assessment using on-the-go thermal imaging and machine learning
AUTHORS: Gutiérrez, S.; Diago, M.P.; Fernández-Novales, J.; Tardaguila, J.

PLoS ONE

Non-destructive assessment of grapevine water status in the field using a portable NIR spectrophotometer
AUTHORS: Tardaguila, J.; Fernández-Novales, J.; Gutiérrez, S.; Diago, M.P.

Journal of the Science of Food and Agriculture

Data mining and NIR spectroscopy in viticulture: Applications for plant phenotyping under field conditions
AUTHORS: Gutiérrez, S.; Tardaguila, J.; Fernández-Novales, J.; Diago, M.P.

Sensors (Switzerland)

Landmark-based music recognition system optimisation using genetic algorithms
AUTHORS: Gutiérrez, S.; García, S.

Multimedia Tools and Applications

Grapevine flower estimation by applying artificial vision techniques on images with uncontrolled scene and multi-model analysis
AUTHORS: Aquino, A.; Millan, B.; Gutiérrez, S.; Tardáguila, J.

Computers and Electronics in Agriculture

Support vector machine and artificial neural network models for the classification of grapevine varieties using a portable NIR spectrophotometer
AUTHORS: Gutiérrez, S.; Tardaguila, J.; Fernández-Novales, J.; Diago, M.P.

PLoS ONE