Facultad de Informática
Centro académico
University of Mohaghegh Ardabili
Ardabīl, IránPublicaciones en colaboración con investigadores/as de University of Mohaghegh Ardabili (22)
2024
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Classification of Healthy and Frozen Pomegranates Using Hyperspectral Imaging and Deep Learning
Horticulturae, Vol. 10, Núm. 1
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Counterfeit Detection of Iranian Black Tea Using Image Processing and Deep Learning Based on Patched and Unpatched Images
Horticulturae, Vol. 10, Núm. 7
2023
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Attention Mechanisms in Convolutional Neural Networks for Nitrogen Treatment Detection in Tomato Leaves Using Hyperspectral Images
Electronics (Switzerland), Vol. 12, Núm. 12
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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
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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
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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
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Using metaheuristic algorithms to improve the estimation of acidity in Fuji apples using NIR spectroscopy
Ain Shams Engineering Journal, Vol. 13, Núm. 6
2021
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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
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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
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Identification of internal defects in potato using spectroscopy and computational intelligence based on majority voting techniques
Foods, Vol. 10, Núm. 5
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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
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One‐dimensional convolutional neural networks for hyperspectral analysis of nitrogen in plant leaves
Applied Sciences (Switzerland), Vol. 11, Núm. 24
2020
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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
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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
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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
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Automatic classification of chickpea varieties using computer vision techniques
Agronomy, Vol. 9, Núm. 11
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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
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A fast and accurate expert system for weed identification in potato crops using metaheuristic algorithms
Computers in Industry, Vol. 98, pp. 80-89
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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
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Automatic chickpea classification using computer vision techniques
IX Congresso Ibérico de Agroengenharia: Livro de Atas