Publicaciones (15) Publicaciones de Arturo Aquino Martín

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. Estimación automatizada del peso y calibre de aceitunas mediante análisis de imagen

    XXXIX Jornadas de Automática: actas. Badajoz, 5-7 de septiembre de 2018

  3. Olive-fruit mass and size estimation using image analysis and feature modeling

    Sensors (Switzerland), Vol. 18, Núm. 9

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

    Journal of Sensors, Vol. 2018

  5. Sustainable urban race, una propuesta para el fomento de vocaciones cientifico-técnicas

    XXXIX Jornadas de Automática: actas. Badajoz, 5-7 de septiembre de 2018

  6. 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

2015

  1. Automated Diagnosis of Diabetic Retinopathy: Fundamentals, Current State of Art and Perspectives

    FRONTIERS OF MEDICAL IMAGING (WORLD SCIENTIFIC PUBL CO PTE LTD), pp. 327-354

  2. 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

  3. 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. Automated diagnosis of diabetic retinopathy: Fundamentals current state of art and perspectives

    Frontiers of Medical Imaging (World Scientific Publishing Co.), pp. 327-354

  2. Establishing the macular grading grid by means of fovea centre detection using anatomical-based and visual-based features

    Computers in Biology and Medicine, Vol. 55, pp. 61-73