Publicacions (28) Publicacions de SALVADOR GUTIERREZ SALCEDO

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. Aplicación de la visión por computador para evaluar la canopy en viñedos comerciales

    La Semana vitivinícola, Núm. 3589, pp. 468-471

  2. Aplicación de la visión por computador para evaluar la canopy en viñedos comerciales

    La Semana vitivinícola, Núm. 3605, pp. 1991-1994

  3. Artificial intelligence and novel sensing technologies for assessing downy mildew in grapevine

    Horticulturae, Vol. 7, Núm. 5

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

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

  5. Deep learning for the differentiation of downy mildew and spider mite in grapevine under field conditions

    Computers and Electronics in Agriculture, Vol. 182

  6. Estimación de la producción de uva del viñedo mediante visión artificial

    La Semana vitivinícola, Núm. 3589, pp. 472-474

  7. Estimación de la producción de uva del viñedo mediante visión artificial

    La Semana vitivinícola, Núm. 3605, pp. 1995-1997

  8. Impact of leaf occlusions on yield assessment by computer vision in commercial vineyards

    Agronomy, Vol. 11, Núm. 5

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

    Smart Agricultural Technology, Vol. 1

2019

  1. Ground based hyperspectral imaging for extensive mango yield estimation

    Computers and Electronics in Agriculture, Vol. 157, pp. 126-135

  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

  4. Spectral filter design based on in-field hyperspectral imaging and machine learning for mango ripeness estimation

    Computers and Electronics in Agriculture, Vol. 164

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. 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