Sigfredo Augusto Fuentes Jara

Non-Invasive Sheep Biometrics Obtained by Computer Vision Algorithms and Machine Learning Modeling Using Integrated Visible/Infrared Thermal Cameras.

Sigfredo Fuentes, Claudia Gonzalez Viejo, Surinder S Chauhan, Aleena Joy, Eden Tongson, Frank R Dunshea

Journal article  |  2020  |  Sensors

Live sheep export has become a public concern. This study aimed to test a non-contact biometric system based on artificial intelli..

Silicon supplementation improves the nutritional and sensory characteristics of lentil seeds obtained from drought-stressed plants

Sajitha Biju, Sigfredo Fuentes, Claudia Gonzalez Viejo, Damir D Torrico, Sumayya Inayat, Dorin Gupta

Journal article  |  2020  |  Journal of the Science of Food and Agriculture

BACKGROUND: Lentil is an important nutritionally rich pulse crop in the world. Despite having a prominent role in human health and..

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

Sigfredo Fuentes, Vasiliki Summerson, Claudia Gonzalez Viejo, Eden Tongson, Nir Lipovetzky, Kerry L Wilkinson, Colleen Szeto, Ranjith R Unnithan

Journal article  |  2020  |  Sensors

Bushfires are increasing in number and intensity due to climate change. A newly developed low-cost electronic nose (e-nose) was te..

Classification of Smoke Contaminated Cabernet Sauvignon Berries and Leaves Based on Chemical Fingerprinting and Machine Learning Algorithms

Vasiliki Summerson, Claudia Gonzalez Viejo, Colleen Szeto, Kerry L Wilkinson, Damir D Torrico, Alexis Pang, Roberta De Bei, Sigfredo Fuentes

Journal article  |  2020  |  Sensors

Wildfires are an increasing problem worldwide, with their number and intensity predicted to rise due to climate change. When fires..

A Digital Approach to Model Quality and Sensory Traits of Beers Fermented under Sonication Based on Chemical Fingerprinting

Claudia Gonzalez Viejo, Sigfredo Fuentes

Journal article  |  2020  |  Fermentation

The development of digital tools based on artificial intelligence can produce affordable and accurate methodologies to assess qual..

Machine Learning Modeling of Wine Sensory Profiles and Color of Vertical Vintages of Pinot Noir Based on Chemical Fingerprinting, Weather and Management Data

Sigfredo Fuentes, Damir D Torrico, Eden Tongson, Claudia Gonzalez Viejo

Journal article  |  2020  |  Sensors

Important wine quality traits such as sensory profile and color are the product of complex interactions between the soil, grapevin..

Non-Invasive Biometrics and Machine Learning Modeling to Obtain Sensory and Emotional Responses from Panelists during Entomophagy

Sigfredo Fuentes, Yin Y Wong, Claudia Gonzalez Viejo

Journal article  |  2020  |  Foods

Insect-based food products offer a more sustainable and environmentally friendly source of protein compared to plant and animal pr..

Editorial: Special Issue "Emerging Sensor Technology in Agriculture"

Carlos Poblete-Echeverria, Sigfredo Fuentes

Journal article  |  2020  |  Sensors

Research and innovation activities in the area of sensor technology can accelerate the adoption of new and emerging digital tools ..

A digital approach to evaluate the effect of berry cell death on pinot noir wines’ quality traits and sensory profiles using non-destructive near-infrared spectroscopy

S Fuentes, E Tongson, J Chen, CG Viejo

Journal article  |  2020  |  Beverages

Berry cell death (BCD) is linked to the development of flavors and aromas in berries and wine. The BCD pattern and rate within a g..

Development of a rapid method to assess beer foamability based on relative protein content using robobeer and machine learning modeling

CG Viejo, CH Caboche, ED Kerr, CL Pegg, BL Schulz, K Howell, S Fuentes

Journal article  |  2020  |  Beverages

Foam-related parameters are associated with beer quality and dependent, among others, on the protein content. This study aimed to ..