Publicaciones en las que colabora con Sergio Cubero García (24)

2024

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

    Postharvest Biology and Technology, Vol. 209

2023

  1. Determinación de la textura en caqui ‘Rojobrillante’ mediante imagen hiperspectral Vis-NIR

    XII Congreso ibérico de agroingeniería.: Libro de actas

  2. Estimación de los niveles nutricionales de hojas de cítricos mediante análisis no destructivo aplicando técnicas de aprendizaje automático

    XII Congreso ibérico de agroingeniería.: Libro de actas

  3. Estimación de los niveles nutricionales de hojas de cítricos mediante análisis no destructivos aplicando técnicas de aprendizaje automático

    XII Congreso ibérico de agroingeniería.: Libro de actas

  4. Uso de imagen hiperespectral para la discriminación en postcosecha de variedades similares de níspero

    XII Congreso ibérico de agroingeniería.: Libro de actas

2021

  1. Application of deep convolutional neural networks for the detection of anthracnose in olives using VIS/NIR hyperspectral images

    Computers and Electronics in Agriculture, Vol. 187

  2. Detection of invisible damages in ‘rojo brillante’ persimmon fruit at different stages using hyperspectral imaging and chemometrics

    Foods, Vol. 10, Núm. 9

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

    Postharvest Biology and Technology, Vol. 171

  4. Riconoscere la lebbra con l'intelligenza artificiale

    Olivo & olio, Vol. 24, Núm. 6, pp. 38-41

2019

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

    Journal of Food Engineering, Vol. 263, pp. 173-180

2015

  1. 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. 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

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

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

2013

  1. 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

  2. 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. 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

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

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

2011

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

    Food and Bioprocess Technology, Vol. 4, Núm. 4, pp. 487-504

  2. Erratum to: Advances in Machine Vision Applications for Automatic Inspection and Quality Evaluation of Fruits and Vegetables(Food Bioprocess Technol, (2011), 4, (487-504), 10.1007/s11947-010-0411-8)

    Food and Bioprocess Technology

2010

  1. Avances en visión artificial automática de productos hortofrutícolas

    Horticultura global, Núm. 288, pp. 48-50