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Application of 2D and 3D image technologies to characterise morphological attributes of grapevine clusters.Assessment of flower number per inflorescence in grapevine by image analysis under field conditions.Assessment of cluster yield components by image analysis.Machine Vision-Based Measurement Systems for Fruit and Vegetable Quality Control in Postharvest.Automatic sex detection of individuals of Ceratitis capitata by means of computer vision in a biofactory.Non-destructive assessment of the internal quality of intact persimmon using colour and VIS/NIR hyperspectral imagingAutomated Systems Based on Machine Vision for Inspecting Citrus Fruits from the Field to Postharvest—a ReviewA new method for assessment of bunch compactness using automated image analysisA new method for pedicel/peduncle detection and size assessment of grapevine berries and other fruits by image analysisAnalysis of the detachment of citrus fruits by vibration using artificial visionDevelopment of a Hyperspectral Computer Vision System Based on Two Liquid Crystal Tuneable Filters for Fruit Inspection. Application to Detect Citrus Fruits DecayEditorialOptimised computer vision system for automatic pre-grading of citrus fruit in the field using a mobile platformComparison of ROC Feature Selection Method for the Detection of Decay in Citrus Fruit Using Hyperspectral ImagesHyperspectral LCTF-based system for classification of decay in mandarins caused by Penicillium digitatum and Penicillium italicum using the most relevant bands and non-linear classifiersSelection of Optimal Wavelength Features for Decay Detection in Citrus Fruit Using the ROC Curve and Neural NetworksRecent Advances and Applications of Hyperspectral Imaging for Fruit and Vegetable Quality AssessmentAdvances in Machine Vision Applications for Automatic Inspection and Quality Evaluation of Fruits and VegetablesErratum to: Advances in Machine Vision Applications for Automatic Inspection and Quality Evaluation of Fruits and VegetablesAutomatic detection of skin defects in citrus fruits using a multivariate image analysis approachAutomatic sorting of satsuma (Citrus unshiu) segments using computer vision and morphological featuresRecognition and classification of external skin damage in citrus fruits using multispectral data and morphological featuresAutomatic correction of the effects of the light source on spherical objects. An application to the analysis of hyperspectral images of citrus fruitsHyperspectral system for early detection of rottenness caused by Penicillium digitatum in mandarinsSegmentation of Hyperspectral Images for the Detection of Rotten MandarinsCitrus sorting by identification of the most common defects using multispectral computer visionComputer vision detection of peel defects in citrus by means of a region oriented segmentation algorithmMachine Vision System for Automatic Quality Grading of FruitMultispectral inspection of citrus in real-time using machine vision and digital signal processorsAE—Automation and Emerging TechnologiesWhen prevention fails. Towards more efficient strategies for plant disease eradicationIn-Line Estimation of the Standard Colour Index of Citrus Fruits Using a Computer Vision System Developed For a Mobile Platform
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P50
description
researcher ORCID ID = 0000-0002-4562-9668
@en
wetenschapper
@nl
name
José Blasco
@ast
José Blasco
@en
José Blasco
@es
José Blasco
@nl
type
label
José Blasco
@ast
José Blasco
@en
José Blasco
@es
José Blasco
@nl
prefLabel
José Blasco
@ast
José Blasco
@en
José Blasco
@es
José Blasco
@nl
P106
P1153
34568406000
P21
P31
P496
0000-0002-4562-9668