Universidad de Murcia-ko ikertzaileekin lankidetzan egindako argitalpenak (37)

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. 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

  4. 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. 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

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

    Foods, Vol. 10, Núm. 5

  3. Use of Piptatherum miliaceum to enable the establishment success of Salvia rosmarinus in Technosols developed from pyritic tailings

    Chemosphere, Vol. 267

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. Estimation of different ripening stages of Fuji apples using image processing and spectroscopy based on the majority voting method

    Computers and Electronics in Agriculture, Vol. 176

  3. Estimation of the constituent properties of red delicious apples using a hybrid of artificial neural networks and artificial bee colony algorithm

    Agronomy, Vol. 10, Núm. 2

  4. Recent advances in applications of remote image capture systems in agriculture

    Applied Sciences (Switzerland)

  5. Systematic mapping study on remote sensing in agriculture

    Applied Sciences (Switzerland), Vol. 10, Núm. 10

2019

  1. An automatic non-destructive method for the classification of the ripeness stage of red delicious apples in orchards using aerial video

    Agronomy, Vol. 9, Núm. 2

  2. Automatic classification of chickpea varieties using computer vision techniques

    Agronomy, Vol. 9, Núm. 11

  3. Comparison of different classifiers and the majority voting rule for the detection of plum fruits in garden conditions

    Remote Sensing, Vol. 11, Núm. 21

  4. Empleo simultáneo de la fotografía digital y medidas en campo para el seguimiento del estado fenológico en lechuga (Lactuca sativa L CV Neruda) con distintos tratamientos de suelo

    X Congreso Ibérico de Agroingeniería: Libro de actas

  5. Remote image capture system to improve aerial supervision for precision irrigation in agriculture

    Water (Switzerland), Vol. 11, Núm. 2

2018

  1. Automatic chickpea classification using computer vision techniques

    IX Congresso Ibérico de Agroengenharia: Livro de Atas