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

Food and bioprocess technology, 2011-05, Vol.4 (4), p.487-504

2011

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Ripeness monitoring of two cultivars of nectarine using VIS-NIR hyperspectral reflectance imaging

Journal of food engineering, 2017-12, Vol.214, p.29-39

2017

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Automated Systems Based on Machine Vision for Inspecting Citrus Fruits from the Field to Postharvest—a Review

Food and bioprocess technology, 2016-10, Vol.9 (10), p.1623-1639

2016

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Selection of Optimal Wavelength Features for Decay Detection in Citrus Fruit Using the ROC Curve and Neural Networks

Food and bioprocess technology, 2013-02, Vol.6 (2), p.530-541

2013

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Xf-Rovim. A Field Robot to Detect Olive Trees Infected by Xylella Fastidiosa Using Proximal Sensing

Remote sensing (Basel, Switzerland), 2019-02, Vol.11 (3), p.221

2019

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Prediction of the level of astringency in persimmon using visible and near-infrared spectroscopy

Journal of food engineering, 2017-07, Vol.204, p.27-37

2017

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RobHortic: A Field Robot to Detect Pests and Diseases in Horticultural Crops by Proximal Sensing

Agriculture (Basel), 2020-07, Vol.10 (7), p.276

2020

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Automatic detection of skin defects in citrus fruits using a multivariate image analysis approach

Computers and electronics in agriculture, 2010-05, Vol.71 (2), p.189-197

2010

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Integration of simultaneous tactile sensing and visible and near-infrared reflectance spectroscopy in a robot gripper for mango quality assessment

Biosystems engineering, 2017-10, Vol.162, p.112-123

2017

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

Foods, 2021-09, Vol.10 (9), p.2170

2021

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Near infrared techniques applied to analysis of wheat-based products: Recent advances and future trends

Food control, 2022-10, Vol.140, p.109115, Article 109115

2022

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Parametric modeling strategy for automatic product configuration

IECON 2020 The 46th Annual Conference of the IEEE Industrial Electronics Society, 2020, p.3102-3108

2020

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IEEE_Xplore

Use of hyperspectral transmittance imaging to evaluate the internal quality of nectarines

Biosystems engineering, 2019-06, Vol.182, p.54-64

2019

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Astringency assessment of persimmon by hyperspectral imaging

Postharvest biology and technology, 2017-03, Vol.125, p.35-41

2017

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Potential of VIS-NIR hyperspectral imaging and chemometric methods to identify similar cultivars of nectarine

Food control, 2018-04, Vol.86, p.1-10

2018

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Discrimination of common defects in loquat fruit cv. ‘Algerie’ using hyperspectral imaging and machine learning techniques

Postharvest biology and technology, 2021-01, Vol.171, p.111356, Article 111356

2021

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Maturity monitoring of intact fruit and arils of pomegranate cv. ‘Mollar de Elche’ using machine vision and chemometrics

Postharvest biology and technology, 2019-10, Vol.156, p.110936, Article 110936

2019

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Enhancing anthracnose detection in mango at early stages using hyperspectral imaging and machine learning

Postharvest biology and technology, 2024-03, Vol.209, p.112732, Article 112732

2024

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Quantifying the ultraviolet-induced fluorescence intensity in green mould lesions of diverse citrus varieties: Towards automated detection of citrus decay in postharvest

Postharvest biology and technology, 2023-10, Vol.204, p.112468, Article 112468

2023

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Non-destructive assessment of the internal quality of intact persimmon using colour and VIS/NIR hyperspectral imaging

Food science & technology, 2017-04, Vol.77, p.241-248

2017

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Machine Vision-Based Measurement Systems for Fruit and Vegetable Quality Control in Postharvest

Advances in biochemical engineering, biotechnology, 2017-01, Vol.161, p.71-91

2017

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Near infrared hyperspectral imaging and spectral unmixing methods for evaluation of fiber distribution in enriched pasta

Food chemistry, 2021-05, Vol.343, p.128517-128517, Article 128517

2021

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Application of 2D and 3D image technologies to characterise morphological attributes of grapevine clusters

Journal of the science of food and agriculture, 2016-10, Vol.96 (13), p.4575-4583

2016

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Discrimination of astringent and deastringed hard ‘Rojo Brillante’ persimmon fruit using a sensory threshold by means of hyperspectral imaging

Journal of food engineering, 2019-12, Vol.263, p.173-180

2019

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Application for the estimation of the standard citrus colour index (CCI) using image processing in mobile devices

Biosystems engineering, 2018-03, Vol.167, p.63-74

2018

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

Ripeness monitoring of two cultivars of nectarine using VIS-NIR hyperspectral reflectance imaging

Automated Systems Based on Machine Vision for Inspecting Citrus Fruits from the Field to Postharvest—a Review

Selection of Optimal Wavelength Features for Decay Detection in Citrus Fruit Using the ROC Curve and Neural Networks

Xf-Rovim. A Field Robot to Detect Olive Trees Infected by Xylella Fastidiosa Using Proximal Sensing

Prediction of the level of astringency in persimmon using visible and near-infrared spectroscopy

RobHortic: A Field Robot to Detect Pests and Diseases in Horticultural Crops by Proximal Sensing

Automatic detection of skin defects in citrus fruits using a multivariate image analysis approach

Integration of simultaneous tactile sensing and visible and near-infrared reflectance spectroscopy in a robot gripper for mango quality assessment

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

Near infrared techniques applied to analysis of wheat-based products: Recent advances and future trends

Parametric modeling strategy for automatic product configuration

Use of hyperspectral transmittance imaging to evaluate the internal quality of nectarines

Astringency assessment of persimmon by hyperspectral imaging

Potential of VIS-NIR hyperspectral imaging and chemometric methods to identify similar cultivars of nectarine

Discrimination of common defects in loquat fruit cv. ‘Algerie’ using hyperspectral imaging and machine learning techniques

Maturity monitoring of intact fruit and arils of pomegranate cv. ‘Mollar de Elche’ using machine vision and chemometrics

Enhancing anthracnose detection in mango at early stages using hyperspectral imaging and machine learning

Quantifying the ultraviolet-induced fluorescence intensity in green mould lesions of diverse citrus varieties: Towards automated detection of citrus decay in postharvest

Non-destructive assessment of the internal quality of intact persimmon using colour and VIS/NIR hyperspectral imaging

Machine Vision-Based Measurement Systems for Fruit and Vegetable Quality Control in Postharvest

Near infrared hyperspectral imaging and spectral unmixing methods for evaluation of fiber distribution in enriched pasta

Application of 2D and 3D image technologies to characterise morphological attributes of grapevine clusters

Discrimination of astringent and deastringed hard ‘Rojo Brillante’ persimmon fruit using a sensory threshold by means of hyperspectral imaging

Application for the estimation of the standard citrus colour index (CCI) using image processing in mobile devices

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