Sigfredo Fuentes
Orcid: 0000-0002-0377-5085
According to our database1,
Sigfredo Fuentes
authored at least 38 papers
between 2015 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
Methodologies Used in Remote Sensing Data Analysis and Remote Sensors for Precision Agriculture.
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
Editorial: Special Issue "Implementation of Sensors and Artificial Intelligence for Environmental Hazards Assessment in Urban, Agriculture and Forestry Systems".
Sensors, 2021
Computer Vision and Machine Learning Analysis of Commercial Rice Grains: A Potential Digital Approach for Consumer Perception Studies.
Sensors, 2021
Dependence of CWSI-Based Plant Water Stress Estimation with Diurnal Acquisition Times in a Nectarine Orchard.
Remote. Sens., 2021
Mapping Very-High-Resolution Evapotranspiration from Unmanned Aerial Vehicle (UAV) Imagery.
ISPRS Int. J. Geo Inf., 2021
Using imagery and computer vision as remote monitoring methods for early detection of respiratory disease in pigs.
Comput. Electron. Agric., 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
Performance Assessment of Thermal Infrared Cameras of Different Resolutions to Estimate Tree Water Status from Two Cherry Cultivars: An Alternative to Midday Stem Water Potential and Stomatal Conductance.
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
Vineyard water status estimation using multispectral imagery from an UAV platform and machine learning algorithms for irrigation scheduling management.
Comput. Electron. Agric., 2018
Automated grapevine cultivar classification based on machine learning using leaf morpho-colorimetry, fractal dimension and near-infrared spectroscopy parameters.
Comput. Electron. Agric., 2018
2017
Adaptive Estimation of Crop Water Stress in Nectarine and Peach Orchards Using High-Resolution Imagery from an Unmanned Aerial Vehicle (UAV).
Remote. Sens., 2017
Rapid measurement of total non-structural carbohydrate concentration in grapevine trunk and leaf tissues using near infrared spectroscopy.
Comput. Electron. Agric., 2017
2016
Sensors, 2016
Automated computation of leaf area index from fruit trees using improved image processing algorithms applied to canopy cover digital photograpies.
Comput. Electron. Agric., 2016
2015
Digital Cover Photography for Estimating Leaf Area Index (LAI) in Apple Trees Using a Variable Light Extinction Coefficient.
Sensors, 2015