Publications by the researcher in collaboration with Salvador Gutiérrez Salcedo (30)

2023

  1. Multi-sensor spectral fusion to model grape composition using deep learning

    Information Fusion, Vol. 99

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

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

2022

  1. Assessment of downy mildew in grapevine using computer vision and fuzzy logic. Development and validation of a new method

    Oeno One, Vol. 56, Núm. 3, pp. 41-53

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. Computer vision for assessing downy mildew in grapevine leaves under laboratory conditions

    1st International Conference on Computing and Machine Intelligence

  3. Inteligencia artificial y sensórica avanzada para monitorizar el mildiu en vid

    Enoviticultura, Núm. 69

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

    Smart Agricultural Technology, Vol. 1

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. Hyperspectral imaging application under field conditions: Assessment of the spatio-temporal variability of grape composition within a vineyard

    Precision Agriculture 2019 - Papers Presented at the 12th European Conference on Precision Agriculture, ECPA 2019

  3. On-The-Go VIS + SW - NIR Spectroscopy as a Reliable Monitoring Tool for Grape Composition within the Vineyard

    Molecules (Basel, Switzerland), Vol. 24, Núm. 15

2018

  1. Canopy temperature mapping with a vineyard robot

    14th International Conference on Precision Agriculture. Proceedings

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

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

  4. New, non-invasive technologies for vineyard zoning under Mediterranean conditions: Mapping vineyard water status using thermal imaging

    XIIth International Terroir Congress

  5. On-the-go NIR spectroscopy and thermal imaging for assessing and mapping vineyard water status in precision viticulture.

    14th International Conference on Precision Agriculture. Proceedings

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

    Frontiers in Plant Science, Vol. 9

  7. 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

  3. On-the-go thermal imaging for water status assessment in commercial vineyards

    Advances in Animal Biosciences, Vol. 8, Núm. 2, pp. 520-524