Publicaciones en las que colabora con José Blasco Ivars (42)

2024

  1. Convolutional neural networks to assess bergamot essential oil content in the field from smartphone images

    Industrial Crops and Products, Vol. 220

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

    Postharvest Biology and Technology, Vol. 209

  3. Is It Possible to Do a Reliable Assessment of Bergamot Colour in the Field with a Smartphone Camera?

    Lecture Notes in Civil Engineering

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

2020

  1. CitrusYield: A dashboard for mapping yield and fruit quality of citrus in precision agriculture

    Agronomy, Vol. 10, Núm. 1

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. 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. 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. 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