Publicaciones en colaboración con investigadores/as de Instituto Valenciano de Investigaciones Agrarias (16)

2016

  1. Detection of fungal infections on citrus fruit using VIS/NIR reflectance spectroscopy and machine learning methods

    VIII CONGRESO IBERICO DE AGROINGENIERIA LIBRO DE ACTAS: RETOS DE LA NUEVA AGRICULTURA MEDITERRANEA

  2. Online fitted policy iteration based on extreme learning machines

    Knowledge-Based Systems, Vol. 100, pp. 200-211

2015

  1. Laser-light backscattering imaging for early decay detection in citrus fruit using both a statistical and a physical model

    Journal of Food Engineering, Vol. 154, pp. 76-85

  2. Visible-NIR reflectance spectroscopy and manifold learning methods applied to the detection of fungal infections on citrus fruit

    Journal of Food Engineering, Vol. 163, pp. 17-24

2014

  1. Detection of decay in citrus fruit by means of backscattering image analysis

    VII CONGRESO IBERICO DE AGROINGENIERIA Y CIENCIAS HORTICOLAS

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

    Food and Bioprocess Technology, Vol. 7, Núm. 4, pp. 1047-1056

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

    Biosystems Engineering, Vol. 122, pp. 91-98

2013

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

    Food and Bioprocess Technology, Vol. 6, Núm. 12, pp. 3613-3619

  2. Early decay detection in citrus fruit using laser-light backscattering imaging

    Postharvest Biology and Technology, Vol. 86, pp. 424-430

  3. 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

    Postharvest Biology and Technology, Vol. 82, pp. 76-86

  4. In-line sorting of processed fruit using computer vision: Application to the inspection of Satsuma segments and pomegranate arils

    Image Processing: Concepts, Methodologies, Tools, and Applications (IGI Global), pp. 874-895

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

    Food and Bioprocess Technology, Vol. 6, Núm. 2, pp. 530-541

2012

  1. Decay detection in citrus fruits using hyperspectral computer vision

    Intelligent Data Analysis for Real-Life Applications: Theory and Practice (IGI Global), pp. 104-123

  2. Fruit, vegetable and nut quality evaluation and control using computer vision

    Computer Vision Technology in the Food and Beverage Industries (Elsevier Inc.), pp. 379-399

  3. In-line sorting of processed fruit using computer vision: Application to the inspection of satsuma segments and pomegranate arils

    Intelligent Data Analysis for Real-Life Applications: Theory and Practice (IGI Global), pp. 124-145

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

    Food and Bioprocess Technology, Vol. 5, Núm. 4, pp. 1121-1142