Universidad de Granada-ko ikertzaileekin lankidetzan egindako argitalpenak (21)

2023

  1. Changes on Grape Aroma Composition as a Consequence of Foliar Application of Methyl Jasmonate and Nano-Sized Particles Doped with Methyl Jasmonate

    Applied Sciences (Switzerland), Vol. 13, Núm. 4

  2. Foliar application of methyl jasmonate and methyl jasmonate supported on nanoparticles: Incidence on grape phenolic composition over two seasons

    Food Chemistry, Vol. 402

  3. Foliar applications to vines of methyl jasmonate and nanoparticles doped with methyl jasmonate: impact on grape and wine polysaccharide composition

    Oeno One, Vol. 57, Núm. 1, pp. 1-14

  4. Influence of foliar treatments with methyl jasmonate and methyl jasmonate-doped nanoparticles on nitrogen composition of Tempranillo grapes during two vintages

    European Food Research and Technology, Vol. 249, Núm. 5, pp. 1187-1197

  5. Inteligencia artificial y visión por ordenador para evaluar los componentes del rendimiento de la vid en viñedos comerciales

    BIO Web of Conferences: 44th World Congress of Vine and Wine

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

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

  7. Using artificial intelligence (AI) for grapevine disease detection based on images

    BIO Web of Conferences: 44th World Congress of Vine and Wine

2022

  1. Application of Elicitors, as Conventional and Nano Forms, in Viticulture: Effects on Phenolic, Aromatic and Nitrogen Composition of Tempranillo Wines

    Beverages, Vol. 8, Núm. 3

  2. 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. 3605, pp. 1991-1994

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

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

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

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

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

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

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

    Agronomy, Vol. 11, Núm. 5

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

    Smart Agricultural Technology, Vol. 1

2020

  1. Bartonella spp. Prevalence (serology, culture, and PCR) in sanitary workers in La Rioja Spain

    Pathogens, Vol. 9, Núm. 3

2017

  1. Prevalence of Bartonella spp. By culture, PCR and serology, in veterinary personnel from Spain

    Parasites and Vectors, Vol. 10, Núm. 1

2016

  1. Quantifying spatio-temporal variation of leaf chlorophyll and nitrogen contents in vineyards

    Biosystems Engineering, Vol. 150, pp. 201-213