Argitalpenak (123) María Paz Diago Santamaría argitalpenak

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. Monitorization of Varietal Aroma Composition Dynamics during Ripening in Intact Vitis vinifera L. Tempranillo Blanco Berries by Hyperspectral Imaging

    Journal of Agricultural and Food Chemistry, Vol. 71, Núm. 5, pp. 2616-2627

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

    Information Fusion, Vol. 99

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

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

  7. Towards the automation of NIR spectroscopy to assess vineyard water status spatial–temporal variability from a ground moving vehicle

    Scientific Reports, Vol. 13, Núm. 1

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

  2. Combination of multispectral imagery, environmental data and thermography for on-the-go monitoring of the grapevine water status in commercial vineyards

    European Journal of Agronomy, Vol. 140

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

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

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

    Frontiers in Plant Science

  5. Monitorización en continuo del estado hídrico del viñedo con una herramienta espectral de bajo coste y tamaño

    IV Jornadas del Grupo de Viticultura: Acta de Horticultura : Comunicaciones Técnicas Sociedad Española de Ciencias Hortícolas : 26-28 de octubre 2022, Pamplona/Iruña

2021

  1. Análisis de la eficacia de una metodología activa diseñada para mejorar la adquisición de competencias relacionadas con los sistemas de información geográfica en la Universidad de la Rioja

    La transformación digital de la universidad: XI CIDU Congreso Iberoamericano de Docencia Universitaria

  2. Assessing actual number of grapevine berries using linear methods and machine learning

    PRECISION AGRICULTURE'21

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

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

  4. Monitoring and mapping vineyard water status using non-invasive technologies by a ground robot

    Remote Sensing, Vol. 13, Núm. 14

  5. Non-invasive monitoring of berry ripening using on-the-go hyperspectral imaging in the vineyard

    Agronomy, Vol. 11, Núm. 12

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

    Smart Agricultural Technology, Vol. 1

2020

  1. Aplicación y evaluación de metodologías activas de enseñanza-aprendizaje que faciliten la adquisición de competencias relacionadas con los Sistemas de Información Geográfica en los programas de Grado y Máster de la Universidad de La Rioja

    In-Red 2020. VI Congreso nacional de innovación educativa y docencia en red

  2. 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