Publications by the researcher in collaboration with Fernando Palacios López (12)

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

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

2021

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

    PRECISION AGRICULTURE'21

  2. Computer vision for assessing downy mildew in grapevine leaves under laboratory conditions

    1st International Conference on Computing and Machine Intelligence

  3. Inteligencia artificial y sensórica avanzada para monitorizar el mildiu en vid

    Enoviticultura, Núm. 69

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. A Non-Invasive Method Based on Computer Vision for Grapevine Cluster Compactness Assessment Using a Mobile Sensing Platform under Field Conditions

    Sensors (Basel, Switzerland), Vol. 19, Núm. 17

  2. Mapping of canopy features in commercial vineyards using machine vision

    A Multidisciplinary Vision towards Sustainable Viticulture. Book of abstracts

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

    Oeno One

2018

  1. Innovative assessment of cluster compactness in wine grapes from automated on-the-go proximal sensing application

    14th International Conference on Precision Agriculture. Proceedings

  2. 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