TY - DATA T1 - TTADDA_WUR_2023: 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 - 10.4121/75c01fac-f00a-4980-8cd8-cd4499f1aa98.v1 KW - phenotyping KW - agriculture KW - yield estimation KW - uav KW - orthomosaic KW - potatoes N2 -
This dataset named TTADDA_WUR_2023 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_2023 dataset was collected in Rhenen, the Netherlands (latitude: 51.9922293, longitude: 5.582514). Planting took place on May 4, 2023, harvest was done 8 times biweekly, with the first harvest on May 31 and the eight harvest on September 6, 2023, in order to get intermediate data for each variety. The field consisted of 880 plots (55 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 m by 1.5 m. Plant density was 5.33 plants/m2. The potatoes were hand planted with a planting distance of 0.25 m.
This dataset contains: