JUAN IGNACIO
ARRIBAS SANCHEZ
PROFESORES TITULARES DE UNIVERSIDAD
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University of Mohaghegh Ardabili
Ardabīl, IránPublicacións en colaboración con investigadores/as de University of Mohaghegh Ardabili (22)
2024
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A stereoscopic video computer vision system for weed discrimination in rice field under both natural and controlled light conditions by machine learning
Measurement: Journal of the International Measurement Confederation, Vol. 237
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Automatic non-destructive estimation of polyphenol oxidase and peroxidase enzyme activity levels in three bell pepper varieties by Vis/NIR spectroscopy imaging data based on machine learning methods
Chemometrics and Intelligent Laboratory Systems, Vol. 250
2023
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Examination of Lemon Bruising Using Different CNN-Based Classifiers and Local Spectral-Spatial Hyperspectral Imaging
Algorithms, Vol. 16, Núm. 2
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From Harvest to Market: Non-Destructive Bruise Detection in Kiwifruit Using Convolutional Neural Networks and Hyperspectral Imaging
Horticulturae, Vol. 9, Núm. 8
2022
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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
2021
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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 estimation of three apple fruit properties at various ripening levels with optimal Vis-NIR spectral wavelength regression data
Heliyon, Vol. 7, Núm. 9
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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
2020
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A computer vision system based on majority-voting ensemble neural network for the automatic classification of three chickpea varieties
Foods, Vol. 9, Núm. 2
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A computer vision system for the automatic classification of five varieties of tree leaf images
Computers, Vol. 9, Núm. 1
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A three-variety automatic and non-intrusive computer vision system for the estimation of orange fruit pH value
Measurement: Journal of the International Measurement Confederation, Vol. 152
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An automatic visible-range video weed detection, segmentation and classification prototype in potato field
Heliyon, Vol. 6, Núm. 5
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Automatic non-destructive video estimation of maturation levels in Fuji apple (Malus Malus pumila) fruit in orchard based on colour (Vis) and spectral (NIR) data
Biosystems Engineering, Vol. 195, pp. 136-151
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Non-destructive estimation of chlorophyll a content in red delicious apple cultivar based on spectral and color data
Tarim Bilimleri Dergisi, Vol. 26, Núm. 3, pp. 339-348
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Non-destructive visible and short-wave near-infrared spectroscopic data estimation of various physicochemical properties of Fuji apple (Malus pumila) fruits at different maturation stages
Chemometrics and Intelligent Laboratory Systems, Vol. 206
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Weed classification for site-specific weed management using an automated stereo computer-vision machine-learning system in rice fields
Plants, Vol. 9, Núm. 5
2019
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A video image segmentation system for the fruit-trees in multi-stage outdoors orchard under natural conditions
Tarim Bilimleri Dergisi, Vol. 25, Núm. 4, pp. 427-439
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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
2018
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A visible-range computer-vision system for automated, non-intrusive assessment of the pH value in Thomson oranges
Computers in Industry, Vol. 99, pp. 69-82