University of Mohaghegh Ardabili-ko ikertzaileekin lankidetzan egindako argitalpenak (21)

2024

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

    Horticulturae, Vol. 10, Núm. 1

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. 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

  3. 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. 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

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

    Foods, Vol. 10, Núm. 5

  4. 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

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

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

2020

  1. 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

  2. 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

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

2018

  1. A fast and accurate expert system for weed identification in potato crops using metaheuristic algorithms

    Computers in Industry, Vol. 98, pp. 80-89

  2. A new approach for visual identification of orange varieties using neural networks and metaheuristic algorithms

    Information Processing in Agriculture, Vol. 5, Núm. 1, pp. 162-172

  3. Automatic chickpea classification using computer vision techniques

    IX Congresso Ibérico de Agroengenharia: Livro de Atas

  4. Automatic chickpea classification using computer vision techniques

    IX CONGRESO IBERICO DE AGROINGENIERIA - LIBROS DE ACTAS