Publications in collaboration with researchers from Instituto de Ciencias de la Vid y del Vino (101)

2025

  1. Characterization of winegrape berries’ composition on sorting tables using hyperspectral imaging and AI

    46th World Congress of Vine and Wine ; 23rd General Assembly of the OIV. Book of abstracts

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. Early yield prediction in different grapevine varieties using computer vision and machine learning

    Precision Agriculture, Vol. 24, Núm. 2, pp. 407-435

  3. Editorial: Resilience of grapevine to climate change: from plant physiology to adaptation strategies, volume II

    Frontiers in Plant Science

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

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

  5. Near infrared spectroscopy for the estimation of Tempranillo Blanco volatile composition along grape maturation

    12th International Symposium of Oenology of Bordeaux and 9th Edition of the Macrowine Symposium (Œno Macrowine 2023). Book of abstracts

2022

  1. Deep learning and computer vision for assessing the number of actual berries in commercial vineyards

    Biosystems Engineering, Vol. 218, pp. 175-188

  2. Editorial: Resilience of grapevine to climate change: From plant physiology to adaptation strategies

    Frontiers in Plant Science

2021

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

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

  2. Estimación de la composición aromática varietal directamente en el viñedo

    Jornadas GIENOL 2021. Virtual

  3. Smart applications and digital technologies in viticulture: A review

    Smart Agricultural Technology, Vol. 1

2020

  1. Automated grapevine flower detection and quantification method based on computer vision and deep learning from on-the-go imaging using a mobile sensing platform under field conditions

    Computers and Electronics in Agriculture, Vol. 178

2019

  1. Hyperspectral imaging and CNN for on-the-go, non-destructive assessment of grape composition in the vineyard

    21th GiESCO lnternational Meeting (Group of international Experts for Cooperation on Vitivinicultural Systems)

  2. NIR spectroscopy as a contactless rapid tool to estimate the aminoacids profile in intact grape berries

    A Multidisciplinary Vision towards Sustainable Viticulture. Book of abstracts

  3. 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

  4. Vineyard pruning weight assessment by machine vision: Towards an on-the-go measurement system

    Oeno One

2018

  1. Automated early yield prediction in vineyards from on-the-go image acquisition

    Computers and Electronics in Agriculture, Vol. 144, pp. 26-36

  2. 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

  3. Effects of soil erosion on agro-ecosystem services and soil functions: A multidisciplinary study in nineteen organically farmed European and Turkish vineyards

    Journal of Environmental Management, Vol. 223, pp. 614-624

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

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