Claudia Gonzalez Viejo
Orcid: 0000-0001-9207-9307
According to our database1,
Claudia Gonzalez Viejo
authored at least 25 papers
between 2018 and 2023.
Collaborative distances:
Collaborative distances:
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Bibliography
2023
Sensors, October, 2023
Early detection of Verticillium wilt of potatoes using near-infrared spectroscopy and machine learning modeling.
Comput. Electron. Agric., 2023
2022
Digital Assessment and Classification of Wine Faults Using a Low-Cost Electronic Nose, Near-Infrared Spectroscopy and Machine Learning Modelling.
Sensors, 2022
Influence of Label Design and Country of Origin Information in Wines on Consumers' Visual, Sensory, and Emotional Responses.
Sensors, 2022
Early Detection of Fusarium oxysporum Infection in Processing Tomatoes (Solanum lycopersicum) and Pathogen-Soil Interactions Using a Low-Cost Portable Electronic Nose and Machine Learning Modeling.
Sensors, 2022
Rapid Detection of Fraudulent Rice Using Low-Cost Digital Sensing Devices and Machine Learning.
Sensors, 2022
Water status estimation of cherry trees using infrared thermal imagery coupled with supervised machine learning modeling.
Comput. Electron. Agric., 2022
2021
Integrating a Low-Cost Electronic Nose and Machine Learning Modelling to Assess Coffee Aroma Profile and Intensity.
Sensors, 2021
Biometric Physiological Responses from Dairy Cows Measured by Visible Remote Sensing Are Good Predictors of Milk Productivity and Quality through Artificial Intelligence.
Sensors, 2021
Digital Integration and Automated Assessment of Eye-Tracking and Emotional Response Data Using the BioSensory App to Maximize Packaging Label Analysis.
Sensors, 2021
Berry Cell Vitality Assessment and the Effect on Wine Sensory Traits Based on Chemical Fingerprinting, Canopy Architecture and Machine Learning Modelling.
Sensors, 2021
Urban Green Infrastructure Monitoring Using Remote Sensing from Integrated Visible and Thermal Infrared Cameras Mounted on a Moving Vehicle.
Sensors, 2021
Early Detection of Aphid Infestation and Insect-Plant Interaction Assessment in Wheat Using a Low-Cost Electronic Nose (E-Nose), Near-Infrared Spectroscopy and Machine Learning Modeling.
Sensors, 2021
Computer Vision and Machine Learning Analysis of Commercial Rice Grains: A Potential Digital Approach for Consumer Perception Studies.
Sensors, 2021
2020
Classification of Smoke Contaminated Cabernet Sauvignon Berries and Leaves Based on Chemical Fingerprinting and Machine Learning Algorithms.
Sensors, 2020
Artificial Intelligence Applied to a Robotic Dairy Farm to Model Milk Productivity and Quality based on Cow Data and Daily Environmental Parameters.
Sensors, 2020
Non-Invasive Sheep Biometrics Obtained by Computer Vision Algorithms and Machine Learning Modeling Using Integrated Visible/Infrared Thermal Cameras.
Sensors, 2020
Machine Learning Modeling of Wine Sensory Profiles and Color of Vertical Vintages of Pinot Noir Based on Chemical Fingerprinting, Weather and Management Data.
Sensors, 2020
Assessment of Smoke Contamination in Grapevine Berries and Taint in Wines Due to Bushfires Using a Low-Cost E-Nose and an Artificial Intelligence Approach.
Sensors, 2020
2019
Non-Invasive Tools to Detect Smoke Contamination in Grapevine Canopies, Berries and Wine: A Remote Sensing and Machine Learning Modeling Approach.
Sensors, 2019
Spatial Variability of Aroma Profiles of Cocoa Trees Obtained through Computer Vision and Machine Learning Modelling: A Cover Photography and High Spatial Remote Sensing Application.
Sensors, 2019
2018
Non-Contact Heart Rate and Blood Pressure Estimations from Video Analysis and Machine Learning Modelling Applied to Food Sensory Responses: A Case Study for Chocolate.
Sensors, 2018
Development of a Biosensory Computer Application to Assess Physiological and Emotional Responses from Sensory Panelists.
Sensors, 2018
Automated grapevine cultivar classification based on machine learning using leaf morpho-colorimetry, fractal dimension and near-infrared spectroscopy parameters.
Comput. Electron. Agric., 2018