Data article: GrapeMOTS: UAV vineyard dataset with MOTS grape bunch annotations recorded from multiple perspectives for enhanced object detection and tracking

  • Mar Ariza-Sentís
  • Kaiwen Wang
  • Zhen Cao
  • Sergio Vélez
  • João Valente
FlexiGroBots partners from Wageningen University (WU) successfully published a new data article entitled "GrapeMOTS: UAV vineyard dataset with MOTS grape bunch annotations recorded from multiple perspectives for enhanced object detection and tracking" in the journal Data in Brief

Detección y seguimiento de racimos para fenotipado en vídeos laterales de dron

  • Mar Ariza-Sentis
  • Sergio Vélez
  • Hilmy Baja
  • João Valente
Non-scientific article: Partners from Wageningen University (WU) have published a non-scientific article that has explained how Grape Bunch Detection and Tracking is performed with videos acquired with UAVs to extract phenotypic traits.

Research article: Comparing Nadir and Oblique Thermal Imagery in UAV-Based 3D Crop Water Stress Index Applications for Precision Viticulture with LiDAR Validation

  • Thomas Buunk
  • Sergio Vélez
  • Mar Ariza-Sentís
  • João Valente
FlexiGroBots partners from Wageningen University (WU) successfully published a new research article entitled "Comparing Nadir and Oblique Thermal Imagery in UAV-Based 3D Crop Water Stress Index Applications for Precision Viticulture with LiDAR Validation" in the Sensors

Research article: VineLiDAR: High-resolution UAV-LiDAR vineyard dataset acquired over two years in northern Spain

  • Sergio Vélez
  • Mar Ariza-Sentís
  • João Valente
FlexiGroBots partners from Wageningen University (WU) successfully published a new research article entitled "VineLiDAR: High-resolution UAV-LiDAR vineyard dataset acquired over two years in northern Spain" in the Data in Brief

Research article: BBR: An open-source standard workflow based on biophysical crop parameters for automatic Botrytis cinerea assessment in vineyards

  • Mar Ariza-Sentís
  • Sergio Vélez
  • João Valente
FlexiGroBots partners from Wageningen University (WU) successfully published a new research article entitled " BBR: An open-source standard workflow based on biophysical crop parameters for automatic Botrytis cinerea assessment in vineyards" in the SoftwareX

Research article: Object detection and tracking on UAV RGB videos for early extraction of grape phenotypic traits

  • Mar Ariza-Sentís
  • Hilmy Baja
  • Sergio Vélez
  • João Valente
FlexiGroBots partners from Wageningen University (WU) successfully published a new research article entitled "Object detection and tracking on UAV RGB videos for early extraction of grape phenotypic traits" in the Computers and Electronics in Agriculture.

Research article: Dataset on UAV RGB videos acquired over a vineyard including bunch labels for object detection and tracking

  • Mar Ariza-Sentís
  • Sergio Vélez
  • João Valente
New research article entitled "Dataset on UAV RGB videos acquired over a vineyard including bunch labels for object detection and tracking " is published in the Data in Brief journal by Wageningen University (WU), one of the FlexiGroBots partners.

Research article: Dataset on unmanned aerial vehicle multispectral images acquired over a vineyard affected by Botrytis cinerea in northern Spain

  • Sergio Vélez
  • Mar Ariza-Sentís
  • João Valente
FlexiGroBots partners from Wageningen University (WU) successfully published a new research article entitled "Dataset on unmanned aerial vehicle multispectral images acquired over a vineyard affected by Botrytis cinerea in northern Spain " in the Data in Brief journal

Research article "Mapping the spatial variability of Botrytis bunch rot risk in vineyards using UAV multispectral imagery"

  • Sergio Vélez Martín
  • Maria Del Mar Ariza Sentís
  • João Valente
FlexiGroBots partners from Wageningen University (WU) have published a research article entitled "Mapping the spatial variability of Botrytis bunch rot risk in vineyards using UAV multispectral imagery" in the European Journal of Agronomy.

Non-scientific article "USE OF DRONES AND LAND ROBOTS TO DETECT DISEASES AND WEEDS IN THE CROP"

  • Maria Del Mar Ariza Sentís
  • João Valente
  • Sergio Vélez Martín
  • Ángela Ribeiro Seijas
  • José María Bengochea
  • Mariano Todeschini
Colleagues from Wageningen University (WU) and Consejo Superior de Investigaciones Científicas (CSIC) have published a non-scientific article that covered the most advanced methods for detecting crop diseases and persistent weeds.