Javier Tardáguila - Publications, H-index & Citations

Javier Tardáguila

University of La Rioja

46H指数

175论文数

4.9K被引数

收录论文 51

发表时间

Impact of Phenological and Lighting Conditions on Early Detection of Grapevine Inflorescences and Bunches Using Deep Learning 利用深度学习进行葡萄花序和果穗早期检测时，物候期与光照条件的影响

Agriculture 2025, Vol. 15, Page 1495

IF3.6

2025-08-22

PREAI

Rubén Íñiguez; Carlos Poblete-Echeverría; Ignacio Barrio; Inés Hernández; Salvador Gutiérrez; Eduardo Martínez-Cámara; Javier Tardáguila

Using Artificial intelligence for automatic and fast detection of downy mildew symptoms in grapevine canopies 利用人工智能对葡萄藤冠层霜霉病症状进行自动、快速检测

European Journal of Agronomy

IF5.5

2025-07-02

OAAI

C. Poblete-Echeverría; I. Hernández; R. Iñiguez; S. Gutiérrez; I. Barrio; J. Tardáguila

Early detection of downy mildew in vineyards using deep neural networks for semantic segmentation 利用深度神经网络进行语义分割，实现葡萄园霜霉病的早期检测

BIOSYSTEMS ENGINEERING

IF5.3

2025-03-01

OAAI

Hernandez, Ines; Silva, Rui; Melo-Pinto, Pedro; Gutierrez, Salvador; Tardaguila, Javier

On-the-go assessment of the grapevine trunk's diameter: a comparison of different convolutional neural networks

COMPUTERS AND ELECTRONICS IN AGRICULTURE

IF8.9

2025-02-01

OAAI

Zanchin, Alessandro; Hernandez, Ines; Iniguez, Ruben; Sozzi, Marco; Tomasi, Diego; Marinello, Francesco; Tardaguila, Javier

Deep learning modelling for non-invasive grape bunch detection under diverse occlusion conditions

COMPUTERS AND ELECTRONICS IN AGRICULTURE

IF8.9

2024-11-01

OAAI

Iniguez, Ruben; Gutierrez, Salvador; Poblete-Echeverria, Carlos; Hernandez, Ines; Barrio, Ignacio; Tardaguila, Javier

In-field disease symptom detection and localisation using explainable deep learning: Use case for downy mildew in grapevine 使用可解释的深度学习进行现场疾病症状检测和定位: 葡萄霜霉病的用例

COMPUTERS AND ELECTRONICS IN AGRICULTURE

IF8.9

2024-11-01

OAAI

Hernandez, Ines; Gutierrez, Salvador; Barrio, Ignacio; Iniguez, Ruben; Tardaguila, Javier

Image analysis with deep learning for early detection of downy mildew in grapevine 基于深度学习的葡萄霜霉病早期检测图像分析

SCIENTIA HORTICULTURAE

IF4.2

2024-05-01

OAAI

Hernandez, Ines; Gutierrez, Salvador; Tardaguila, Javier

Evolutionary conditional GANs for supervised data augmentation: The case of assessing berry number per cluster in grapevine

APPLIED SOFT COMPUTING

IF6.6

2023-11-01

OAAI

Gutierrez, Salvador; Tardaguila, Javier

Multi-sensor spectral fusion to model grape composition using deep learning

INFORMATION FUSION

IF15.5

2023-11-01

OAAI

Gutierrez, Salvador; Fernandez-Novales, Juan; Garde-Cerdan, Teresa; Roman, Sandra Marin-San; Tardaguila, Javier; Diago, Maria P.

Low-Cost Electronic Nose for Wine Variety Identification through Machine Learning Algorithms

AGRONOMY-BASEL

IF3.4

2022-10-25

OAAI

Conesa Celdran, Agustin; John Oates, Martin; Molina Cabrera, Carlos; Pangua, Chema; Tardaguila, Javier; Ruiz-Canales, Antonio

Early yield prediction in different grapevine varieties using computer vision and machine learning

PRECISION AGRICULTURE

IF6.6

2022-08-08

OAAI

Palacios, Fernando; Diago, Maria P.; Melo-Pinto, Pedro; Tardaguila, Javier

Smart applications and digital technologies in viticulture: A review

SMART AGRICULTURAL TECHNOLOGY

IF5.7

2021-12-01

OAAI

Tardaguila, Javier; Stoll, Manfred; Gutierrez, Salvador; Proffitt, Tony; Diago, Maria P.

Impact of Leaf Occlusions on Yield Assessment by Computer Vision in Commercial Vineyards 商业葡萄园中叶片遮挡对计算机视觉产量评估的影响

AGRONOMY-BASEL

IF3.4

2021-05-18

OAAI

Iniguez, Ruben; Palacios, Fernando; Barrio, Ignacio; Hernandez, Ines; Gutierrez, Salvador; Tardaguila, Javier

Artificial Intelligence and Novel Sensing Technologies for Assessing Downy Mildew in Grapevine

HORTICULTURAE

IF3

2021-05-08

OAAI

Hernandez, Ines; Gutierrez, Salvador; Ceballos, Sara; Iniguez, Ruben; Barrio, Ignacio; Tardaguila, Javier

Assessing and mapping vineyard water status using a ground mobile thermal imaging platform

IRRIGATION SCIENCE

IF3.5

2021-04-30

PREAI

Gutierrez, Salvador; Fernandez-Novales, Juan; Diago, Maria-Paz; Iniguez, Ruben; Tardaguila, Javier

Deep learning for the differentiation of downy mildew and spider mite in grapevine under field conditions

COMPUTERS AND ELECTRONICS IN AGRICULTURE

IF8.9

2021-03-01

PREAI

Gutierrez, Salvador; Hernandez, Ines; Ceballos, Sara; Barrio, Ignacio; Diez-Navajas, Ana M.; Tardaguila, Javier

Automated grapevine flower detection and quantification method based on computer vision and deep learning from on-the-go imaging using a mobile sensing platform under field conditions

COMPUTERS AND ELECTRONICS IN AGRICULTURE

IF8.9

2020-11-01

PREAI

Palacios, Fernando; Bueno, Gloria; Salido, Jesus; Diago, Maria P.; Hernandez, Ines; Tardaguila, Javier

A Non-Invasive Method Based on Computer Vision for Grapevine Cluster Compactness Assessment Using a Mobile Sensing Platform under Field Conditions

SENSORS

IF3.5

2019-09-02

OAAI

Palacios, Fernando; Diago, Maria P.; Tardaguila, Javier

On-The-Go VIS plus SW - NIR Spectroscopy as a Reliable Monitoring Tool for Grape Composition within the Vineyard

MOLECULES

IF4.6

2019-07-31

OAAI

Fernandez-Novales, Juan; Tardaguila, Javier; Gutierrez, Salvador; Paz Diago, Maria

Assessment of amino acids and total soluble solids in intact grape berries using contactless Vis and NIR spectroscopy during ripening

TALANTA

IF6.1

2019-07-01

PREAI

Fernandez-Novales, Juan; Garde-Cerdan, Teresa; Tardaguila, Javier; Gutierrez-Gamboa, Gaston; Pilar Perez-Alvarez, Eva; Paz Diago, Maria

研究方向