Sigfredo Fuentes

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Associate Professor

University of Melbourne

Australia

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About

Dr. Sigfredo Fuentes is an Associate Professor at The University of Melbourne, Australia. His research areas encompass advanced methodologies in viticulture, consumer sensory analysis of beverages, and the physiological responses of crops to environmental stressors. He employs innovative technologies such as machine learning and multispectral imaging to enhance product quality and consumer insights across various food and beverage domains.

Recent Grants

Grant: Open

Plants for Space

Open Date: 2023-11-01

Close Date: 2030-11-01

Grant: Close

Developing an accurate measure of activity based caloric expenditure and movement signatures in dogs

Open Date: 2023-05-01

Close Date: 2024-05-01

Grant: Close

Hyperspectral imagery and deep learning analysis

Open Date: 2022-07-01

Close Date: 2024-02-01

Articles (18)

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2025

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2023

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2022

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2022

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2022

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2022

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2022

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2022

Collaborators (7)

sajitha biju

University of Melbourne

AUSTRALIA

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Nir Lipovetzky

University of Melbourne

AUSTRALIA

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Damir Torrico

Senior Lecturer

Lincoln University

NEW ZEALAND

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Niloofar Vaghefi

Senior Lecturer

University of Melbourne

AUSTRALIA

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Christopher Barnes

University of Melbourne

AUSTRALIA

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Paul W. J. Taylor

AUSTRALIA

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Alexis Pang

University of Melbourne

AUSTRALIA

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Sigfredo Fuentes

Research Interests

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About

Recent Grants

Articles (18)

Vineyard proximal sensing using multispectral imaging to evaluate grape ripening and quality traits using artificial neural networks modeling

Consumer insights into the at‐home liking of commercial beers: Integrating nonvolatile and volatile flavor chemometrics

Evaluation of thermal-based physiological indicators for determining water-stress thresholds in drip-irrigated ‘Regina’ cherry trees

Assessment of changes in sensory perception, biometrics and emotional response for space exploration by simulating microgravity positions

Evaluation of spontaneous fermentation impact on the physicochemical properties and sensory profile of green and roasted arabica coffee by digital technologies

Review of technology advances to assess rice quality traits and consumer perception

Regulatory Role of Silicon on Photosynthesis, Gas-exchange and Yield Related Traits of Drought-Stressed Lentil Plants

Effects of Different Beer Compounds on Biometrically Assessed Emotional Responses in Consumers

The Impact of Wet Fermentation on Coffee Quality Traits and Volatile Compounds Using Digital Technologies

Novel insights into the mechanism(s) of silicon-induced drought stress tolerance in lentil plants revealed by RNA sequencing analysis

Wine quality assessment for Shiraz vertical vintages based on digital technologies and machine learning modeling.

Novel Contactless Sensors for Food, Beverage and Packaging Evaluation

Non-Invasive Digital Technologies to Assess Wine Quality Traits and Provenance through the Bottle

Animal biometric assessment using non-invasive computer vision and machine learning are good predictors of dairy cows age and welfare: The future of automated veterinary support systems

Infrared Thermal Imaging and Morpho-Physiological Indices Used for Wheat Genotypes Screening under Drought and Heat Stress

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

Rapid Detection of Fraudulent Rice Using Low-Cost Digital Sensing Devices and Machine Learning

Livestock Identification Using Deep Learning for Traceability

Collaborators (7)

sajitha biju

Nir Lipovetzky

Damir Torrico

Niloofar Vaghefi

Christopher Barnes

Paul W. J. Taylor

Alexis Pang

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