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Ginés García-Mateos

Universidad de Murcia

Spain

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Research Interests

Crop Science

100%

Food Science

40%

Hyperspectral Imaging

50%

Convolutional Neural Network

30%

Spectral Imaging

30%

Fruit Science

30%

Spectrophotometry

30%

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Articles18

Symmetry in Explainable AI: A Morphometric Deep Learning Analysis for Skin Lesion Classification

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Year:

2025

Counterfeit Detection of Iranian Black Tea Using Image Processing and Deep Learning Based on Patched and Unpatched Images

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Year:

2024

Evaluating Accessibility Solutions in Collective Residential Buildings: Field Research in Southeast Spain

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Year:

2024

A synthetic shadow dataset of agricultural settings

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Year:

2024

A Comparative Study of Physically Accurate Synthetic Shadow Datasets in Agricultural Settings with Human Activity

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Year:

2024

The Development of a Stereo Vision System to Study the Nutation Movement of Climbing Plants

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Year:

2024

Classification of Healthy and Frozen Pomegranates Using Hyperspectral Imaging and Deep Learning

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Year:

2024

Attention Mechanisms in Convolutional Neural Networks for Nitrogen Treatment Detection in Tomato Leaves Using Hyperspectral Images

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Year:

2023

Comparison of 2D and 3D convolutional neural networks in hyperspectral image analysis of fruits applied to orange bruise detection

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Year:

2023

Metaheuristic algorithms in visible and near infrared spectra to detect excess nitrogen content in tomato plants

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Year:

2022

Comparison of Classic Classifiers, Metaheuristic Algorithms and Convolutional Neural Networks in Hyperspectral Classification of Nitrogen Treatment in Tomato Leaves

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Year:

2022

Convolutional Neural Networks for Estimating the Ripening State of Fuji Apples Using Visible and Near-Infrared Spectroscopy

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Year:

2022

FARMIT: continuous assessment of crop quality using machine learning and deep learning techniques for IoT-based smart farming

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Year:

2022

Estimation of nitrogen content in cucumber plant (Cucumis sativus L.) leaves using hyperspectral imaging data with neural network and partial least squares regressions

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Year:

2021

One-Dimensional Convolutional Neural Networks for Hyperspectral Analysis of Nitrogen in Plant Leaves

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Year:

2021

Identification of Internal Defects in Potato Using Spectroscopy and Computational Intelligence Based on Majority Voting Techniques

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Year:

2021

Early Detection of Excess Nitrogen Consumption in Cucumber Plants Using Hyperspectral Imaging Based on Hybrid Neural Networks and the Imperialist Competitive Algorithm

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Year:

2021

A systematic mapping study for ensemble classification methods in cardiovascular disease

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Year:

2021

Collaborators9

Ruben Fernandez-Beltran

Universidad de Murcia

SPAIN

Rafael Fernandez

Adjunct Professor

Universitat Jaume I

SPAIN

Juan Manuel Carrillo de Gea

Associate Professor

Universidad de Murcia

SPAIN

Pedro E. Lopez-de-Teruel

Universidad de Murcia

SPAIN

José Miguel Molina-Martínez

Universidad Politécnica de Cartagena

SPAIN

Juan Arribas

Associate Professor

Universidad de Valladolid

SPAIN

Félix J. García Clemente

Universidad de Murcia

SPAIN

Dolores Parras Burgos

Assistant Professor

Universidad Politécnica de Cartagena

SPAIN

Angélica Guzmán-Ponce

Universidad Católica San Antonio de Murcia

SPAIN

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