Publicaciones (96) Publicaciones de Gines Garcia Mateos

2024

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

    Sensors, Vol. 24, Núm. 9

  2. A synthetic shadow dataset of agricultural settings

    Data in Brief

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

    Horticulturae, Vol. 10, Núm. 1

  4. Shadow detection using a cross-attentional dual-decoder network with self-supervised image reconstruction features

    Image and Vision Computing, Vol. 143

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

    Sensors, Vol. 24, Núm. 3

2023

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

    Electronics (Switzerland), Vol. 12, Núm. 12

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

    Journal of Food Science, Vol. 88, Núm. 12, pp. 5149-5163

2022

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

    Remote Sensing, Vol. 14, Núm. 24

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

    Food and Bioprocess Technology, Vol. 15, Núm. 10, pp. 2226-2236

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

    Cluster Computing, Vol. 25, Núm. 3, pp. 2163-2178

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

    Journal of Near Infrared Spectroscopy, Vol. 30, Núm. 4, pp. 197-207

  5. Using metaheuristic algorithms to improve the estimation of acidity in Fuji apples using NIR spectroscopy

    Ain Shams Engineering Journal, Vol. 13, Núm. 6

2021

  1. A systematic mapping study for ensemble classification methods in cardiovascular disease

    Artificial Intelligence Review, Vol. 54, Núm. 4, pp. 2827-2861

  2. Early detection of excess nitrogen consumption in cucumber plants using hyperspectral imaging based on hybrid neural networks and the imperialist competitive algorithm

    Agronomy, Vol. 11, Núm. 3

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

    Chemometrics and Intelligent Laboratory Systems, Vol. 217

  4. Identification of internal defects in potato using spectroscopy and computational intelligence based on majority voting techniques

    Foods, Vol. 10, Núm. 5

  5. Nondestructive nitrogen content estimation in tomato plant leaves by Vis-NIR hyperspectral imaging and regression data models

    Applied Optics, Vol. 60, Núm. 30, pp. 9560-9569

  6. One‐dimensional convolutional neural networks for hyperspectral analysis of nitrogen in plant leaves

    Applied Sciences (Switzerland), Vol. 11, Núm. 24

2020

  1. A machine learning method to estimate reference evapotranspiration using soil moisture sensors

    Applied Sciences (Switzerland), Vol. 10, Núm. 6, pp. 1-16

  2. A mapping study of ensemble classification methods in lung cancer decision support systems

    Medical and Biological Engineering and Computing, Vol. 58, Núm. 10, pp. 2177-2193