Research article: Object detection and tracking on UAV RGB videos for early extraction of grape phenotypic traits
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
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
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"
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.
Poster presentation "Automatic tracking of grape clusters and early phenotyping from UAV video sequences"
FlexiGroBots partners from the Wageningen University (WU) participated at the 7th International Plant Phenotyping Symposium (IPPS2022) with a poster presentation on "Automatic tracking of grape clusters and early phenotyping from UAV video sequences".
Non-scientific article "USE OF DRONES AND LAND ROBOTS TO DETECT DISEASES AND WEEDS IN THE CROP"
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.