%0 Generic %A Marrewijk, van, Bart M. %A Njehia Njane, Stephen %A Tsuda, Shogo %A van Culemborg, Marcel %A Polder, Gerrit %A Katayama, Kenji %A van Daalen, Tim %A van de Zedde, Rick %D 2025 %T TTADDA_WUR_2022: A subset of the multi-season RGB and multispectral TTADDA-UAV potato dataset %U %R 10.4121/1f628b56-3246-4aab-accd-1193b1566763.v1 %K phenotyping %K yield estimation %K agriculture %K orthomosaic %K uav %K potatoes %X

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


For more information about the complete dataset we refer to the related publication: TTADDA-UAV: A Multi-Season RGB and Multispectral UAV Dataset of Potato Fields Collected in Japan and the Netherlands.


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/m2. The potatoes were hand planted with a planting distance of 0.25 m.


This dataset contains:

%I 4TU.ResearchData