Borja Millán Prior-rekin lankidetzan egindako argitalpenak (26)

2019

  1. On-the-go assessment of vineyard canopy porosity, bunch and leaf exposure by image analysis

    Australian Journal of Grape and Wine Research, Vol. 25, Núm. 3, pp. 363-374

  2. 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. On-the-go grapevine yield estimation using image analysis and boolean model

    Journal of Sensors, Vol. 2018

  3. vitisBerry: An Android-smartphone application to early evaluate the number of grapevine berries by means of image analysis

    Computers and Electronics in Agriculture, Vol. 148, pp. 19-28

2017

  1. A new methodology for estimating the grapevine-berry number per cluster using image analysis

    Biosystems Engineering, Vol. 156, pp. 80-95

  2. Image analysis-based modelling for flower number estimation in grapevine

    Journal of the Science of Food and Agriculture, Vol. 97, Núm. 3, pp. 784-792

  3. In-field assessment of grapevine water status using a portable NIR spectrophotometer

    Acta Horticulturae, Vol. 1150, pp. 167-172

2016

  1. Assessment of Vineyard Canopy Porosity Using Machine Vision

    American Journal of Enology and Viticulture, Vol. 67, Núm. 2, pp. 229-238

  2. Predicción del rendimiento del viñedo mediante un sistema de visión artificial instalado en un vehículo agrícola

    Agricultura: Revista agropecuaria y ganadera, Núm. 997, pp. 618-623

2015

  1. Assessment of cluster yield components by image analysis

    Journal of the Science of Food and Agriculture, Vol. 95, Núm. 6, pp. 1274-1282

  2. Automatic discrimination of grapevine (Vitis vinifera L.) clones using leaf hyperspectral imaging and partial least squares

    Journal of Agricultural Science, Vol. 153, Núm. 3, pp. 455-465

  3. Grapevine flower estimation by applying artificial vision techniques on images with uncontrolled scene and multi-model analysis

    Computers and Electronics in Agriculture, Vol. 119, pp. 92-104

  4. vitisFlower®: Development and testing of a novel android-smartphone application for assessing the number of grapevine flowers per inflorescence using artificial vision techniques

    Sensors, Vol. 15, Núm. 9, pp. 21204-21218

2014

  1. A new method for pedicel/peduncle detection and size assessment of grapevine berries and other fruits by image analysis

    Biosystems Engineering, Vol. 117, Núm. C, pp. 62-72

  2. Aplicaciones de la visión artificial en viticultura ( y II)

    Vida rural, Núm. 381, pp. 52-58

  3. Aplicaciones de la visión artificial en viticultura (I)

    Vida rural, Núm. 376, pp. 42-46

  4. Assessment of flower number per inflorescence in grapevine by image analysis under field conditions

    Journal of the Science of Food and Agriculture, Vol. 94, Núm. 10, pp. 1981-1987

  5. Assessment of grapevine water status from hyperspectral imaging of leaves

    Acta Horticulturae, Vol. 1038, pp. 89-96

  6. Estimación de los componentes del racimo mediante análisis de imagen

    I Jornada del Grupo de Viticultura y Enología: Comunicaciones, Logroño, 19 y 20 de noviembre, 2014