Publicaciones en colaboración con investigadores/as de Instituto de Ciencias de la Vid y del Vino (15)

2023

  1. Application of near-infrared spectroscopy for the estimation of volatile compounds in Tempranillo Blanco grape berries during ripening

    Journal of the Science of Food and Agriculture, Vol. 103, Núm. 13, pp. 6317-6329

  2. NIR attribute selection for the development of vineyard water status predictive models

    Biosystems Engineering, Vol. 229, pp. 167-178

2021

  1. Assessing and mapping vineyard water status using a ground mobile thermal imaging platform

    Irrigation Science, Vol. 39, Núm. 4, pp. 457-468

2019

  1. On-the-go hyperspectral imaging for the in-field estimation of grape berry soluble solids and anthocyanin concentration

    Australian Journal of Grape and Wine Research, Vol. 25, Núm. 1, pp. 127-133

2018

  1. Development and validation of a new methodology to assess the vineyard water status by on-the-go near infrared spectroscopy

    Frontiers in Plant Science, Vol. 9

  2. In field quantification and discrimination of different vineyard water regimes by on-the-go NIR spectroscopy

    Biosystems Engineering, Vol. 165, pp. 47-58

  3. On-the-go hyperspectral imaging under field conditions and machine learning for the classification of grapevine varieties

    Frontiers in Plant Science, Vol. 9

  4. Towards the definition of optimal grape harvest time in Grenache grapevines: Nitrogenous maturity

    Scientia Horticulturae, Vol. 239, pp. 9-16

  5. Use of non-invasive RGB imaging to assess the canopy status in organic viticulture

    EQA - International Journal of Environmental Quality, Vol. 30, pp. 23-30

  6. Vineyard water status assessment using on-the-go thermal imaging and machine learning

    PLoS ONE, Vol. 13, Núm. 2

2017

  1. In-field assessment of grapevine water status using a portable NIR spectrophotometer

    Acta Horticulturae, Vol. 1150, pp. 167-172

  2. Non-destructive assessment of grapevine water status in the field using a portable NIR spectrophotometer

    Journal of the Science of Food and Agriculture, Vol. 97, Núm. 11, pp. 3772-3780

2016

  1. Data mining and NIR spectroscopy in viticulture: Applications for plant phenotyping under field conditions

    Sensors, Vol. 16, Núm. 2

  2. Use of Visible and Short-Wave Near-Infrared Hyperspectral Imaging to Fingerprint Anthocyanins in Intact Grape Berries

    Journal of Agricultural and Food Chemistry, Vol. 64, Núm. 40, pp. 7658-7666

2015

  1. Support vector machine and artificial neural network models for the classification of grapevine varieties using a portable NIR spectrophotometer

    PLoS ONE, Vol. 10, Núm. 11