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Vineyard water status estimation using multispectral imagery from an UAV platform and machine learning algorithms for irrigation scheduling management

Computers and electronics in agriculture, 2018-04, Vol.147, p.109-117

2018

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Implementation of Artificial Intelligence in Food Science, Food Quality, and Consumer Preference Assessment

Foods, 2022-04, Vol.11 (9), p.1192

Fuentes, Sigfredo

2022

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Integrating a Low-Cost Electronic Nose and Machine Learning Modelling to Assess Coffee Aroma Profile and Intensity

Sensors (Basel, Switzerland), 2021-03, Vol.21 (6), p.2016

2021

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Methodologies Used in Remote Sensing Data Analysis and Remote Sensors for Precision Agriculture

Sensors (Basel, Switzerland), 2022-10, Vol.22 (20), p.7898

2022

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Editorial: Special Issue “Implementation of Sensors and Artificial Intelligence for Environmental Hazards Assessment in Urban, Agriculture and Forestry Systems”

Sensors (Basel, Switzerland), 2021-09, Vol.21 (19), p.6383

2021

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Digital Assessment and Classification of Wine Faults Using a Low-Cost Electronic Nose, Near-Infrared Spectroscopy and Machine Learning Modelling

Sensors (Basel, Switzerland), 2022-03, Vol.22 (6), p.2303

2022

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

BMC plant biology, 2023-10, Vol.23 (1), p.1-498, Article 498

2023

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Cross-cultural effects of food product familiarity on sensory acceptability and non-invasive physiological responses of consumers

Food research international, 2019-01, Vol.115, p.439-450

2019

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The role of silicon in regulating physiological and biochemical mechanisms of contrasting bread wheat cultivars under terminal drought and heat stress environments

Frontiers in plant science, 2022-08, Vol.13, p.955490-955490

2022

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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 (Basel, Switzerland), 2021-09, Vol.21 (17), p.5948

2021

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Adaptive Estimation of Crop Water Stress in Nectarine and Peach Orchards Using High-Resolution Imagery from an Unmanned Aerial Vehicle (UAV)

Remote sensing (Basel, Switzerland), 2017-08, Vol.9 (8), p.828

2017

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Editorial: Integrating advanced high-throughput technologies to improve plant resilience to environmental challenges

Frontiers in plant science, 2023, Vol.14, p.1218691-1218691

2023

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Urban Green Infrastructure Monitoring Using Remote Sensing from Integrated Visible and Thermal Infrared Cameras Mounted on a Moving Vehicle

Sensors (Basel, Switzerland), 2021-01, Vol.21 (1), p.295

2021

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Assessment of beer quality based on foamability and chemical composition using computer vision algorithms, near infrared spectroscopy and machine learning algorithms

Journal of the science of food and agriculture, 2018-01, Vol.98 (2), p.618-627

2018

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VitiCanopy: A Free Computer App to Estimate Canopy Vigor and Porosity for Grapevine

Sensors (Basel, Switzerland), 2016-04, Vol.16 (4), p.585

2016

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The post-translational modification landscape of commercial beers

Scientific reports, 2021-08, Vol.11 (1), p.15890-15890, Article 15890

2021

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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 (Basel, Switzerland), 2018-06, Vol.18 (6), p.1802

2018

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

Sensors (Basel, Switzerland), 2022-11, Vol.22 (22), p.8655

2022

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Editorial: Special Issue “Emerging Sensor Technology in Agriculture”

Sensors (Basel, Switzerland), 2020-07, Vol.20 (14), p.3827

2020

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Novel Contactless Sensors for Food, Beverage and Packaging Evaluation

Sensors (Basel, Switzerland), 2023-09, Vol.23 (19), p.8082

2023

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Computer Vision and Machine Learning Analysis of Commercial Rice Grains: A Potential Digital Approach for Consumer Perception Studies

Sensors (Basel, Switzerland), 2021-09, Vol.21 (19), p.6354

2021

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Within-Vineyard, Within-Vine, and Within-Bunch Variability of the Rotundone Concentration in Berries of Vitis vinifera L. cv. Shiraz

Journal of agricultural and food chemistry, 2015-05, Vol.63 (17), p.4276-4283

2015

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Artificial Intelligence Applied to a Robotic Dairy Farm to Model Milk Productivity and Quality based on Cow Data and Daily Environmental Parameters

Sensors (Basel, Switzerland), 2020-05, Vol.20 (10), p.2975

2020

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Dependence of CWSI-Based Plant Water Stress Estimation with Diurnal Acquisition Times in a Nectarine Orchard

Remote sensing (Basel, Switzerland), 2021-07, Vol.13 (14), p.2775

2021

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Berry Cell Vitality Assessment and the Effect on Wine Sensory Traits Based on Chemical Fingerprinting, Canopy Architecture and Machine Learning Modelling

Sensors (Basel, Switzerland), 2021-11, Vol.21 (21), p.7312

2021

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Vineyard water status estimation using multispectral imagery from an UAV platform and machine learning algorithms for irrigation scheduling management

Implementation of Artificial Intelligence in Food Science, Food Quality, and Consumer Preference Assessment

Integrating a Low-Cost Electronic Nose and Machine Learning Modelling to Assess Coffee Aroma Profile and Intensity

Methodologies Used in Remote Sensing Data Analysis and Remote Sensors for Precision Agriculture

Editorial: Special Issue “Implementation of Sensors and Artificial Intelligence for Environmental Hazards Assessment in Urban, Agriculture and Forestry Systems”

Digital Assessment and Classification of Wine Faults Using a Low-Cost Electronic Nose, Near-Infrared Spectroscopy and Machine Learning Modelling

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

Cross-cultural effects of food product familiarity on sensory acceptability and non-invasive physiological responses of consumers

The role of silicon in regulating physiological and biochemical mechanisms of contrasting bread wheat cultivars under terminal drought and heat stress environments

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

Adaptive Estimation of Crop Water Stress in Nectarine and Peach Orchards Using High-Resolution Imagery from an Unmanned Aerial Vehicle (UAV)

Editorial: Integrating advanced high-throughput technologies to improve plant resilience to environmental challenges

Urban Green Infrastructure Monitoring Using Remote Sensing from Integrated Visible and Thermal Infrared Cameras Mounted on a Moving Vehicle

Assessment of beer quality based on foamability and chemical composition using computer vision algorithms, near infrared spectroscopy and machine learning algorithms

VitiCanopy: A Free Computer App to Estimate Canopy Vigor and Porosity for Grapevine

The post-translational modification landscape of commercial beers

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

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

Editorial: Special Issue “Emerging Sensor Technology in Agriculture”

Novel Contactless Sensors for Food, Beverage and Packaging Evaluation

Computer Vision and Machine Learning Analysis of Commercial Rice Grains: A Potential Digital Approach for Consumer Perception Studies

Within-Vineyard, Within-Vine, and Within-Bunch Variability of the Rotundone Concentration in Berries of Vitis vinifera L. cv. Shiraz

Artificial Intelligence Applied to a Robotic Dairy Farm to Model Milk Productivity and Quality based on Cow Data and Daily Environmental Parameters

Dependence of CWSI-Based Plant Water Stress Estimation with Diurnal Acquisition Times in a Nectarine Orchard

Berry Cell Vitality Assessment and the Effect on Wine Sensory Traits Based on Chemical Fingerprinting, Canopy Architecture and Machine Learning Modelling

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