Publicaciones en colaboración con investigadores/as de Instituto de Ciencias de la Vid y del Vino (5)

2023

  1. Early yield prediction in different grapevine varieties using computer vision and machine learning

    Precision Agriculture, Vol. 24, Núm. 2, pp. 407-435

2022

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

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

2020

  1. 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

2019

  1. Vineyard pruning weight assessment by machine vision: Towards an on-the-go measurement system

    Oeno One

2018

  1. Use of non-invasive RGB imaging to assess the canopy status in organic viticulture

    EQA - International Journal of Environmental Quality, Vol. 30, pp. 23-30