Browsing by Author "Gómez-Sanchís, Juan"

Advances in Machine Vision Applications for Automatic Inspection and Quality Evaluation of Fruits and Vegetables

Cubero, Sergio; Aleixos, Nuria; Moltó, Enrique; Gómez-Sanchís, Juan; Blasco, José [et al.] (2011)

Application of deep convolutional neural networks for the detection of anthracnose in olives using VIS/NIR hyperspectral images

Fazari, Antonio; Pellicer-Valero, Óscar; Gómez-Sanchís, Juan; Bernardi, Bruno; Cubero, Sergio; [et al.] (Elsevier, 2021)

Automatic correction of the effects of the light source on spherical objects. An application to the analysis of hyperspectral images of citrus fruits

Gómez-Sanchís, Juan; Moltó, Enrique; Camps-Valls, G.; Gomez-Chova, L.; Aleixos, Nuria; [et al.] (2008)

Automatic inspection of the pomegranate (Punica granatum L.) arils quality by means of computer vision. Short communication.

Blasco, José; Cubero, Sergio; Alegre, Santiago; Gómez-Sanchís, Juan; Lopez-Rubira, V.; [et al.] (2008)

Automatic sex detection of individuals of Ceratitis capitata by means of computer vision in a biofactory

Blasco, José; Gómez-Sanchís, Juan; Gutiérrez, Abelardo; Chueca, Patricia; Argilés, Rafael; [et al.] (2009)

Automatic sorting of satsuma, (Citrus unshiu) segments using computer vision and morphological features

Blasco, José; Aleixos, Nuria; Cubero, Sergio; Gómez-Sanchís, Juan; Moltó, Enrique [et al.] (2009)

Avances en visión automática de productos hortofrutícolas

Blasco, José; Cubero, Sergio; Gómez-Sanchís, Juan; Moltó, Enrique (2010)

Citrus sorting by identification of the most common defects using multispectral computer vision

Blasco, José; Aleixos, Nuria; Gómez-Sanchís, Juan; Moltó, Enrique (2007)

CitrusYield: A Dashboard for Mapping Yield and Fruit Quality of Citrus in Precision Agriculture

González-González, María G.; Gómez-Sanchís, Juan; Blasco, José; Soria-Olivas, Emilio; Chueca, Patricia [et al.] (MDPI, 2020)

Comparison of ROC Feature Selection Method for the Detection of Decay in Citrus Fruit Using Hyperspectral Images

Lorente, Delia; Blasco, José; Serrano, A. J.; Soria-Olivas, Emilio; Aleixos, Nuria; [et al.] (2013)

Computer vision developments for the automatic inspection of fresh and processed fruits

Blasco, José; Aleixos, Nuria; Cubero, Sergio; Juste, Florentino; Gómez-Sanchís, Juan; [et al.] (Leibniz Institute for Agricultural Engineering Potsdam Bornim (ATB), 2009)

Detección automática de podredumbres en cítricos mediante análisis de imágenes backscattering

Lorente, Delia; Cubero, Sergio; Blasco, José; Zude, Manuela; Regen, C.; [et al.] (2013)

Detección automática de podredumbres en cítricos mediante análisis de imágenes backscattering

Lorente, Delia; Cubero, Sergio; Blasco, José; Zude, Manuela; Regen, C.; [et al.] (Interempresas Media, 2013)

Deteccion de daños no perceptibles en frutos climatéricos a través de imágenes hiperespectrales

Vélez-Rivera, Nayeli; Carrasco, Juan José; Chanona-Perez, Jorge; Gómez-Sanchís, Juan; Lorente, Delia; [et al.] (Sociedad española de agroingeniería, 2013)

Detección de podredumbres en cítricos mediante análisis de imágenes backscattering

Lorente, Delia; Zude, Manuela; Gómez-Sanchís, Juan; Regen, C.; Blasco, José [et al.] (Sociedad española de agroingeniería, 2013)

Detecting rottenness caused by Penicillium genus fungi in citrus fruits using machine learning techniques

Gómez-Sanchís, Juan; Martín-Guerrero, José D.; Soria-Olivas, Emilio; Martinez-Sober, Marcelino; Magdalena-Benedito, Rafael; [et al.] (2012)

Detection of Astringent and Deastringent Persimmon Fruits using Hyperspectral Imaging Technology

Munera, Sandra; Aleixos, Nuria; Gómez-Sanchís, Juan; Besada, Cristina; Cubero, Sergio; [et al.] (Wageningen University & Research, 2018)

Detection of Invisible Damages in ‘Rojo Brillante’ Persimmon Fruit at Different Stages Using Hyperspectral Imaging and Chemometrics

Munera, Sandra; Rodríguez-Ortega, Alejandro; Aleixos, Nuria; Cubero, Sergio; Gómez-Sanchís, Juan; [et al.] (MDPI, 2021)

Development of a computer vision system for the automatic quality grading of mandarin segments

Blasco, José; Cubero, Sergio; Arias, Raul; Gómez-Sanchís, Juan; Juste, Florentino; [et al.] (2007)

Development of a Hyperspectral Computer Vision System Based on Two Liquid Crystal Tuneable Filters for Fruit Inspection. Application to Detect Citrus Fruits Decay

Gómez-Sanchís, Juan; Lorente, Delia; Soria-Olivas, Emilio; Aleixos, Nuria; Cubero, Sergio; [et al.] (2014)

Browsing by Author "Gómez-Sanchís, Juan"

Advances in Machine Vision Applications for Automatic Inspection and Quality Evaluation of Fruits and Vegetables ﻿

Application of deep convolutional neural networks for the detection of anthracnose in olives using VIS/NIR hyperspectral images ﻿

Automatic correction of the effects of the light source on spherical objects. An application to the analysis of hyperspectral images of citrus fruits ﻿

Automatic inspection of the pomegranate (Punica granatum L.) arils quality by means of computer vision. Short communication. ﻿

Automatic sex detection of individuals of Ceratitis capitata by means of computer vision in a biofactory ﻿

Automatic sorting of satsuma, (Citrus unshiu) segments using computer vision and morphological features ﻿

Avances en visión automática de productos hortofrutícolas ﻿

Citrus sorting by identification of the most common defects using multispectral computer vision ﻿

CitrusYield: A Dashboard for Mapping Yield and Fruit Quality of Citrus in Precision Agriculture ﻿

Comparison of ROC Feature Selection Method for the Detection of Decay in Citrus Fruit Using Hyperspectral Images ﻿

Computer vision developments for the automatic inspection of fresh and processed fruits ﻿

Detección automática de podredumbres en cítricos mediante análisis de imágenes backscattering ﻿

Detección automática de podredumbres en cítricos mediante análisis de imágenes backscattering ﻿

Deteccion de daños no perceptibles en frutos climatéricos a través de imágenes hiperespectrales ﻿

Detección de podredumbres en cítricos mediante análisis de imágenes backscattering ﻿

Detecting rottenness caused by Penicillium genus fungi in citrus fruits using machine learning techniques ﻿

Detection of Astringent and Deastringent Persimmon Fruits using Hyperspectral Imaging Technology ﻿

Detection of Invisible Damages in ‘Rojo Brillante’ Persimmon Fruit at Different Stages Using Hyperspectral Imaging and Chemometrics ﻿

Development of a computer vision system for the automatic quality grading of mandarin segments ﻿

Development of a Hyperspectral Computer Vision System Based on Two Liquid Crystal Tuneable Filters for Fruit Inspection. Application to Detect Citrus Fruits Decay ﻿

Advances in Machine Vision Applications for Automatic Inspection and Quality Evaluation of Fruits and Vegetables

Application of deep convolutional neural networks for the detection of anthracnose in olives using VIS/NIR hyperspectral images

Automatic correction of the effects of the light source on spherical objects. An application to the analysis of hyperspectral images of citrus fruits

Automatic inspection of the pomegranate (Punica granatum L.) arils quality by means of computer vision. Short communication.

Automatic sex detection of individuals of Ceratitis capitata by means of computer vision in a biofactory

Automatic sorting of satsuma, (Citrus unshiu) segments using computer vision and morphological features

Avances en visión automática de productos hortofrutícolas

Citrus sorting by identification of the most common defects using multispectral computer vision

CitrusYield: A Dashboard for Mapping Yield and Fruit Quality of Citrus in Precision Agriculture

Comparison of ROC Feature Selection Method for the Detection of Decay in Citrus Fruit Using Hyperspectral Images

Computer vision developments for the automatic inspection of fresh and processed fruits

Detección automática de podredumbres en cítricos mediante análisis de imágenes backscattering

Detección automática de podredumbres en cítricos mediante análisis de imágenes backscattering

Deteccion de daños no perceptibles en frutos climatéricos a través de imágenes hiperespectrales

Detección de podredumbres en cítricos mediante análisis de imágenes backscattering

Detecting rottenness caused by Penicillium genus fungi in citrus fruits using machine learning techniques

Detection of Astringent and Deastringent Persimmon Fruits using Hyperspectral Imaging Technology

Detection of Invisible Damages in ‘Rojo Brillante’ Persimmon Fruit at Different Stages Using Hyperspectral Imaging and Chemometrics

Development of a computer vision system for the automatic quality grading of mandarin segments

Development of a Hyperspectral Computer Vision System Based on Two Liquid Crystal Tuneable Filters for Fruit Inspection. Application to Detect Citrus Fruits Decay