TY - DATA
T1 - TTADDA_WUR_2022: A subset of the multi-season RGB and multispectral TTADDA-UAV potato dataset
PY - 2025/09/03
AU - Bart M. Marrewijk, van
AU - Stephen Njehia Njane
AU - Shogo Tsuda
AU - Marcel van Culemborg
AU - Gerrit Polder
AU - Kenji Katayama
AU - Tim van Daalen
AU - Rick van de Zedde
UR - 
DO - 10.4121/1f628b56-3246-4aab-accd-1193b1566763.v1
KW - phenotyping
KW - yield estimation
KW - agriculture
KW - orthomosaic
KW - uav
KW - potatoes
N2 - <p>This dataset named TTADDA_WUR_2022 is one of the five studies included in the TTADDA-UAV collection. The combined collection can be used for modelling, phenotyping and evaluation of breeding selection throughout the years. The collection can be found at: https://doi.org/10.4121/936b5772-09fc-4856-983d-1f9cc2f38d15</p><p><br></p><p>For more information about the complete dataset we refer to the related publication<em>: TTADDA-UAV: A Multi-Season RGB and Multispectral UAV Dataset of Potato Fields Collected in Japan and the Netherlands.</em></p><p><br></p><p>The TTADDA_WUR_2022 dataset was collected in Rhenen, the Netherlands (latitude: 51.99146594, longitude: 5.580833384). Planting took place on April 19, 2022, and the harvest was completed on August 18, 2022. The field consisted of 202 plots (101 varieties), with a size of 1.5 m by 3 m including border plants. The net plot size that was used for phenotyping was 1.5 by 1.5 meters. Plant density was 5.33 plants/m<sup>2</sup>. The potatoes were hand planted with a planting distance of 0.25 m.</p><p><br></p><p>This dataset contains:</p><ul><li>readme with more information and folder structure of .zip file</li><li>MIAPPE_Minimal_Spreadsheet_Template_TTADDAv4.xlsx. A file with all metadata and relative paths to data_files. This file can be loaded and visualised using our git https://github.com/NPEC-NL/MIAPPE_TTADDA_dataset</li><li>Zip file with all drone and measurements</li></ul>
ER -