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List of works by José Blasco

A new method for assessment of bunch compactness using automated image analysis

A new method for pedicel/peduncle detection and size assessment of grapevine berries and other fruits by image analysis

article

AE—Automation and Emerging Technologies

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

article published in 2010

Analysis of the detachment of citrus fruits by vibration using artificial vision

article

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

scientific article

Assessment of cluster yield components by image analysis.

scientific article published on 12 August 2014

Assessment of flower number per inflorescence in grapevine by image analysis under field conditions.

scientific article published on 7 January 2014

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

article

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

article

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

article

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

scientific article published in January 2009

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

scholarly article by José Blasco et al published April 2009 in Computers and Electronics in Agriculture

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

scholarly article by José Blasco et al published December 2007 in Journal of Food Engineering

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

Computer vision detection of peel defects in citrus by means of a region oriented segmentation algorithm

scholarly article by José Blasco et al published August 2007 in Journal of Food Engineering

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

article

Editorial

scholarly article by José Blasco et al published January 2014 in Biosystems Engineering

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

scholarly article published in Food and Bioprocess Technology

Hyperspectral LCTF-based system for classification of decay in mandarins caused by Penicillium digitatum and Penicillium italicum using the most relevant bands and non-linear classifiers

Hyperspectral system for early detection of rottenness caused by Penicillium digitatum in mandarins

In-Line Estimation of the Standard Colour Index of Citrus Fruits Using a Computer Vision System Developed For a Mobile Platform

scholarly article by A. Vidal et al published 8 December 2012 in Food and Bioprocess Technology

Machine Vision System for Automatic Quality Grading of Fruit

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

scientific article published on 14 March 2017

Multispectral inspection of citrus in real-time using machine vision and digital signal processors

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

Optimised computer vision system for automatic pre-grading of citrus fruit in the field using a mobile platform

scholarly article by S. Cubero et al published 14 June 2013 in Precision Agriculture

Recent Advances and Applications of Hyperspectral Imaging for Fruit and Vegetable Quality Assessment

Recognition and classification of external skin damage in citrus fruits using multispectral data and morphological features

article by José Blasco et al published June 2009 in Biosystems Engineering

Segmentation of Hyperspectral Images for the Detection of Rotten Mandarins

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

article by Delia Lorente et al published 2 December 2011 in Food and Bioprocess Technology

When prevention fails. Towards more efficient strategies for plant disease eradication

article

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