Eden Jane Tongson

16 papers Journal 16
YearRankTypeTitle / Venue / Authors
2023 J jnl
Early detection of Verticillium wilt of potatoes using near-infrared spectroscopy and machine learning modeling.
Comput. Electron. Agric.
Mee-Yung Shin, Claudia Gonzalez Viejo, Eden Jane Tongson, Tonya Wiechel, Paul W. J. Taylor, Sigfredo Fuentes
2022 J jnl
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
Hanyue Feng, Claudia Gonzalez Viejo, Niloofar Vaghefi, Paul W. J. Taylor, Eden Jane Tongson, Sigfredo Fuentes
2022 J jnl
Livestock Identification Using Deep Learning for Traceability.
Sensors
Hai Ho Dac, Claudia Gonzalez Viejo, Nir Lipovetzky, Eden Jane Tongson, Frank R. Dunshea, Sigfredo Fuentes
2022 J jnl
Water status estimation of cherry trees using infrared thermal imagery coupled with supervised machine learning modeling.
Comput. Electron. Agric.
Marcos Carrasco-Benavides, Claudia Gonzalez Viejo, Eden Jane Tongson, Antonella Baffico-Hernández, Carlos Ávila-Sánchez, Marco Mora, Sigfredo Fuentes
2021 J jnl
Berry Cell Vitality Assessment and the Effect on Wine Sensory Traits Based on Chemical Fingerprinting, Canopy Architecture and Machine Learning Modelling.
Sensors
Sigfredo Fuentes, Claudia Gonzalez Viejo, Chelsea Hall, Yidan Tang, Eden Jane Tongson
2021 J jnl
Biometric Physiological Responses from Dairy Cows Measured by Visible Remote Sensing Are Good Predictors of Milk Productivity and Quality through Artificial Intelligence.
Sensors
Sigfredo Fuentes, Claudia Gonzalez Viejo, Eden Jane Tongson, Nir Lipovetzky, Frank R. Dunshea
2021 J jnl
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
Sigfredo Fuentes, Eden Jane Tongson, Ranjith R. Unnithan, Claudia Gonzalez Viejo
2021 J jnl
Editorial: Special Issue "Implementation of Sensors and Artificial Intelligence for Environmental Hazards Assessment in Urban, Agriculture and Forestry Systems".
Sensors
Sigfredo Fuentes, Eden Jane Tongson
2021 J jnl
Integrating a Low-Cost Electronic Nose and Machine Learning Modelling to Assess Coffee Aroma Profile and Intensity.
Sensors
Claudia Gonzalez Viejo, Eden Jane Tongson, Sigfredo Fuentes
2021 J jnl
Urban Green Infrastructure Monitoring Using Remote Sensing from Integrated Visible and Thermal Infrared Cameras Mounted on a Moving Vehicle.
Sensors
Sigfredo Fuentes, Eden Jane Tongson, Claudia Gonzalez Viejo
2020 J jnl
Artificial Intelligence Applied to a Robotic Dairy Farm to Model Milk Productivity and Quality based on Cow Data and Daily Environmental Parameters.
Sensors
Sigfredo Fuentes, Claudia Gonzalez Viejo, Brendan Cullen, Eden Jane Tongson, Surinder S. Chauhan, Frank R. Dunshea
2020 J jnl
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
Sigfredo Fuentes, Vasiliki Summerson, Claudia Gonzalez Viejo, Eden Jane Tongson, Nir Lipovetzky, Kerry Wilkinson, Colleen Szeto, Ranjith R. Unnithan
2020 J jnl
Machine Learning Modeling of Wine Sensory Profiles and Color of Vertical Vintages of Pinot Noir Based on Chemical Fingerprinting, Weather and Management Data.
Sensors
Sigfredo Fuentes, Damir D. Torrico, Eden Jane Tongson, Claudia Gonzalez Viejo
2020 J jnl
Non-Invasive Sheep Biometrics Obtained by Computer Vision Algorithms and Machine Learning Modeling Using Integrated Visible/Infrared Thermal Cameras.
Sensors
Sigfredo Fuentes, Claudia Gonzalez Viejo, Surinder S. Chauhan, Aleena Joy, Eden Jane Tongson, Frank R. Dunshea
2019 J jnl
Non-Invasive Tools to Detect Smoke Contamination in Grapevine Canopies, Berries and Wine: A Remote Sensing and Machine Learning Modeling Approach.
Sensors
Sigfredo Fuentes, Eden Jane Tongson, Roberta De Bei, Claudia Gonzalez Viejo, Renata Ristic, Steve Tyerman, Kerry Wilkinson
2018 J jnl
Automated grapevine cultivar classification based on machine learning using leaf morpho-colorimetry, fractal dimension and near-infrared spectroscopy parameters.
Comput. Electron. Agric.
Sigfredo Fuentes, Esther Hernández-Montes, J. M. Escalona, Josefina Bota, Claudia Gonzalez Viejo, Carlos Poblete-Echeverría, Eden Jane Tongson, H. Medrano