%0 Generic %A Njehia Njane, Stephen %A Marrewijk, van, Bart M. %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_NARO_2022: A subset of the multi-season RGB and multispectral TTADDA-UAV potato dataset %U %R 10.4121/ed9b9cd6-8d69-411b-9054-1ecce543ac1b.v1 %K Phenotyping %K yield estimation %K agriculture %K orthomosaic %K uav %K potatoes %X

This dataset named TTADDA_NARO_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_NARO_2023 dataset was collected in Memuro, Hokkaido, located in the northern region of Japan (latitude: 42.888711, longitude: 143.0736002). Planting took place on May 20, 2022, and the harvest was completed on October 3, 2022. The field consisted of 40 plots (9 varieties), each measuring 2.25 m by 3 m and a plant density of 4.44 plants/m2.


This dataset contains:

%I 4TU.ResearchData