Cargando…

Modeling Pinot Noir Aroma Profiles Based on Weather and Water Management Information Using Machine Learning Algorithms: A Vertical Vintage Analysis Using Artificial Intelligence

Wine aroma profiles are determinant for the specific style and quality characteristics of final wines. These are dependent on the seasonality, mainly weather conditions, such as solar exposure and temperatures and water management strategies from veraison to harvest. This paper presents machine lear...

Descripción completa

Detalles Bibliográficos
Autores principales:	Fuentes, Sigfredo, Tongson, Eden, Torrico, Damir D., Gonzalez Viejo, Claudia
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2019
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7023421/ https://www.ncbi.nlm.nih.gov/pubmed/31905992 http://dx.doi.org/10.3390/foods9010033

Ejemplares similares

Machine Learning Modeling of Wine Sensory Profiles and Color of Vertical Vintages of Pinot Noir Based on Chemical Fingerprinting, Weather and Management Data
por: Fuentes, Sigfredo, et al.
Publicado: (2020)

Integrating a Low-Cost Electronic Nose and Machine Learning Modelling to Assess Coffee Aroma Profile and Intensity
por: Gonzalez Viejo, Claudia, et al.
Publicado: (2021)

Fungal and bacterial communities of ‘Pinot noir’ must: effects of vintage, growing region, climate, and basic must chemistry
por: Steenwerth, Kerri L., et al.
Publicado: (2021)

Pinot blanc and Pinot gris arose as independent somatic mutations of Pinot noir
por: Vezzulli, Silvia, et al.
Publicado: (2012)

Editorial: Special Issue “Implementation of Sensors and Artificial Intelligence for Environmental Hazards Assessment in Urban, Agriculture and Forestry Systems”
por: Fuentes, Sigfredo, et al.
Publicado: (2021)

Biometric Physiological Responses from Dairy Cows Measured by Visible Remote Sensing Are Good Predictors of Milk Productivity and Quality through Artificial Intelligence
por: Fuentes, Sigfredo, et al.
Publicado: (2021)

Urban Green Infrastructure Monitoring Using Remote Sensing from Integrated Visible and Thermal Infrared Cameras Mounted on a Moving Vehicle
por: Fuentes, Sigfredo, et al.
Publicado: (2021)

The Potential Effect of β-Ionone and β-Damascenone on Sensory Perception of Pinot Noir Wine Aroma
por: Tomasino, Elizabeth, et al.
Publicado: (2021)

Artificial Intelligence Applied to a Robotic Dairy Farm to Model Milk Productivity and Quality based on Cow Data and Daily Environmental Parameters
por: Fuentes, Sigfredo, et al.
Publicado: (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
por: Fuentes, Sigfredo, et al.
Publicado: (2020)

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
por: Fuentes, Sigfredo, et al.
Publicado: (2019)

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
por: Fuentes, Sigfredo, et al.
Publicado: (2021)

Could Collected Chemical Parameters Be Utilized to Build Soft Sensors Capable of Predicting the Provenance, Vintages, and Price Points of New Zealand Pinot Noir Wines Simultaneously?
por: An, Jingxian, et al.
Publicado: (2023)

Livestock Identification Using Deep Learning for Traceability
por: Dac, Hai Ho, et al.
Publicado: (2022)

Berry Cell Vitality Assessment and the Effect on Wine Sensory Traits Based on Chemical Fingerprinting, Canopy Architecture and Machine Learning Modelling
por: Fuentes, Sigfredo, et al.
Publicado: (2021)

Non-Invasive Sheep Biometrics Obtained by Computer Vision Algorithms and Machine Learning Modeling Using Integrated Visible/Infrared Thermal Cameras
por: Fuentes, Sigfredo, et al.
Publicado: (2020)

Novel Contactless Sensors for Food, Beverage and Packaging Evaluation
por: Gonzalez Viejo, Claudia, et al.
Publicado: (2023)

Digital Integration and Automated Assessment of Eye-Tracking and Emotional Response Data Using the BioSensory App to Maximize Packaging Label Analysis
por: Fuentes, Sigfredo, et al.
Publicado: (2021)

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
por: Feng, Hanyue, et al.
Publicado: (2022)

PINOT NOIR: Pulmonic INsufficiency imprOvemenT with Nitric Oxide Inhalational Response
por: Hart, Stephen, et al.
Publicado: (2012)

PINOT NOIR: Pulmonic INsufficiency imprOvemenT with Nitric Oxide Inhalational Response
por: Hart, Stephen A, et al.
Publicado: (2013)

Effects of Microvibrations and Their Damping on the Evolution of Pinot Noir Wine during Bottle Storage
por: Poggesi, Simone, et al.
Publicado: (2022)

Assessment of Volatile Aromatic Compounds in Smoke Tainted Cabernet Sauvignon Wines Using a Low-Cost E-Nose and Machine Learning Modelling
por: Summerson, Vasiliki, et al.
Publicado: (2021)

UV-B Radiation Induced the Changes in the Amount of Amino Acids, Phenolics and Aroma Compounds in Vitis vinifera cv. Pinot Noir Berry under Field Conditions
por: Sun, Meng, et al.
Publicado: (2023)

Functional Characterization of Individual- and Mixed-Burgundian Saccharomyces cerevisiae Isolates for Fermentation of Pinot Noir
por: Terrell, Emily, et al.
Publicado: (2015)

Metabolite Profiling Reveals Developmental Inequalities in Pinot Noir Berry Tissues Late in Ripening
por: Vondras, Amanda M., et al.
Publicado: (2017)

Discovering the bacteriome of Vitis vinifera cv. Pinot Noir in a conventionally managed vineyard
por: Gamalero, Elisa, et al.
Publicado: (2020)

Focus on the role of seed tannins and pectolytic enzymes in the color development of Pinot noir wine
por: Sparrow, Angela M., et al.
Publicado: (2021)

Understanding Quality of Pinot Noir Wine: Can Modelling and Machine Learning Pave the Way?
por: Tiwari, Parul, et al.
Publicado: (2022)

Isolation, Characterization, and Compositional Analysis of Polysaccharides from Pinot Noir Wines: An Exploratory Study
por: Zhu, Danye, et al.
Publicado: (2022)

Bunch microclimate influence amino acids and phenolic profiles of Pinot noir grape berries
por: Moukarzel, Romy, et al.
Publicado: (2023)

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
por: Gonzalez Viejo, Claudia, et al.
Publicado: (2018)

Development of a Biosensory Computer Application to Assess Physiological and Emotional Responses from Sensory Panelists
por: Fuentes, Sigfredo, et al.
Publicado: (2018)

Bubbles, Foam Formation, Stability and Consumer Perception of Carbonated Drinks: A Review of Current, New and Emerging Technologies for Rapid Assessment and Control
por: Gonzalez Viejo, Claudia, et al.
Publicado: (2019)

Enhanced Stilbene Production and Excretion in Vitis vinifera cv Pinot Noir Hairy Root Cultures
por: Tisserant, Leo-Paul, et al.
Publicado: (2016)

The Rhizosphere Bacterial Microbiota of Vitis vinifera cv. Pinot Noir in an Integrated Pest Management Vineyard
por: Novello, Giorgia, et al.
Publicado: (2017)

Saccharomyces cerevisiae Gene Expression during Fermentation of Pinot Noir Wines at an Industrially Relevant Scale
por: Reiter, Taylor, et al.
Publicado: (2021)

‘Pinore’: The New Red Wine Variety Cross-Bred between ‘Pinot Noir’ and ‘Regent’ Vines
por: Vršič, Stanko, et al.
Publicado: (2021)

Preliminary Study of Australian Pinot Noir Wines by Colour and Volatile Analyses, and the Pivot© Profile Method Using Wine Professionals
por: Longo, Rocco, et al.
Publicado: (2020)

Non-Invasive Tools to Detect Smoke Contamination in Grapevine Canopies, Berries and Wine: A Remote Sensing and Machine Learning Modeling Approach
por: Fuentes, Sigfredo, et al.
Publicado: (2019)

Cannot write session to /tmp/vufind_sessions/sess_g9hg1ao9k2to6ojqpetfff5ojl