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53
Citations
10756
World Ranking
3394
National Ranking
71

Overview

José Blasco is a researcher affiliated with the University of Valencia in Spain, specializing in Agricultural and Biological Sciences and Chemistry. Their research portfolio spans a range of topics focused primarily on spectroscopy and its applications in agriculture and food science.

Their main topics of work include:

  • Spectroscopy and Chemometric Analyses
  • Smart Agriculture and AI
  • Postharvest Quality and Shelf Life Management
  • Water Quality Monitoring and Analysis
  • Spectroscopy Techniques in Biomedical and Chemical Research
  • Date Palm Research Studies
  • Remote Sensing in Agriculture

José Blasco's research fields are distributed mainly between Analytical Chemistry, Plant Science, Industrial and Manufacturing Engineering, Food Science, and Biophysics. This interdisciplinary approach supports the integration of advanced analytical techniques with agricultural applications.

Their publication record features contributions to frequent venues such as:

  • Postharvest Biology and Technology
  • Food Control
  • Agronomy
  • Computers and Electronics in Agriculture
  • Agriculture

Some notable recent papers authored by José Blasco include:

  • "Visible-NIR 'point' spectroscopy in postharvest fruit and vegetable assessment: The science behind three decades of commercial use," 2020, Postharvest Biology and Technology
  • "Application of deep convolutional neural networks for the detection of anthracnose in olives using VIS/NIR hyperspectral images," 2021, Computers and Electronics in Agriculture
  • "RobHortic: A Field Robot to Detect Pests and Diseases in Horticultural Crops by Proximal Sensing," 2020, Agriculture
  • "Discrimination of common defects in loquat fruit cv. 'Algerie' using hyperspectral imaging and machine learning techniques," 2020, Postharvest Biology and Technology
  • "Computer vision applied to food and agricultural products," 2020, Ciência Agronômica/Revista ciência agronômica

Frequent co-authors collaborating with José Blasco include:

  • Sergio Cubero
  • Sandra Munera
  • Nuria Aleixos
  • Juan Gómez-Sanchís
  • Salvador Castillo-Gironés

Best Publications

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

    Delia Lorente;Nuria Aleixos;Juan Gómez-Sanchís;Sergio Cubero

  • AGATA - Advanced GAmma Tracking Array

    S. Akkoyun;A. Algora;B. Alikhani;F. Ameil

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

    Sergio Cubero;Nuria Aleixos;Enrique Moltó;Juan Gómez-Sanchis

  • Machine Vision System for Automatic Quality Grading of Fruit

    José Blasco;Nuria Aleixos;Enrique Moltó

  • Visible-NIR ‘point’ spectroscopy in postharvest fruit and vegetable assessment: The science behind three decades of commercial use

    Kerry B. Walsh;José Blasco;Manuela Zude-Sasse;Xudong Sun

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

    N. Aleixos;J. Blasco;F. Navarrón;E. Moltó

  • Monitoring strategies for quality control of agricultural products using visible and near-infrared spectroscopy: A review

    Victoria Cortés;José Blasco;Nuria Aleixos;Sergio Cubero

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

    J. Blasco;N. Aleixos;J. Gómez;E. Moltó

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

    J. Blasco;N. Aleixos;E. Moltó

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

    Fernando López-García;Gabriela Andreu-García;José Blasco;Nuria Aleixos

  • AE—Automation and Emerging Technologies: Robotic Weed Control using Machine Vision

    J. Blasco;N. Aleixos;J.M. Roger;G. Rabatel

  • Development of a machine for the automatic sorting of pomegranate (Punica granatum) arils based on computer vision

    J. Blasco;S. Cubero;J. Gómez-Sanchís;P. Mira

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

    J. Gómez-Sanchis;L. Gómez-Chova;N. Aleixos;G. Camps-Valls

  • In-line sorting of irregular potatoes by using automated computer-based machine vision system

    Gamal ElMasry;Sergio Cubero;Enrique Moltó;José Blasco

  • Early detection of mechanical damage in mango using NIR hyperspectral images and machine learning

    Nayeli Vélez Rivera;Juan Gómez-Sanchis;Jorge Chanona-Pérez;Juan José Carrasco

  • Brucellosis Vaccines: Assessment of Brucella melitensis Lipopolysaccharide Rough Mutants Defective in Core and O-Polysaccharide Synthesis and Export

    David González;María-Jesús Grilló;María-Jesús De Miguel;Tara Ali

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

    J. Blasco;N. Aleixos;J. Gómez-Sanchís;E. Moltó

  • Comparison of three algorithms in the classification of table olives by means of computer vision

    R. Diaz;L. Gil;C. Serrano;M. Blasco

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

    J. Gómez-Sanchis;E. Moltó;G. Camps-Valls;L. Gómez-Chova

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

    Delia Lorente;Nuria Aleixos;Juan Gómez-Sanchis;Sergio Cubero

Frequent Co-Authors

Emilio Soria-Olivas
Emilio Soria-Olivas University of Valencia
Javier Tardáguila
Javier Tardáguila University of La Rioja
Da-Wen Sun
Da-Wen Sun University College Dublin
Gustau Camps-Valls
Gustau Camps-Valls University of Valencia
Alberto Ferrer
Alberto Ferrer Universitat Politècnica de València
Luis Gómez-Chova
Luis Gómez-Chova University of Valencia
Alberto Urbaneja
Alberto Urbaneja Spanish National Research Council
Lluís Palou
Lluís Palou Instituto Valenciano de Investigaciones Agrarias
Pedro Castañera
Pedro Castañera Spanish National Research Council
Sébastien Perrier
Sébastien Perrier University of Warwick

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