TY - DATA T1 - TTADDA_NARO_2022: A subset of the multi-season RGB and multispectral TTADDA-UAV potato dataset PY - 2025/09/03 AU - Stephen Njehia Njane AU - Bart M. Marrewijk, van 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/ed9b9cd6-8d69-411b-9054-1ecce543ac1b.v1 KW - Phenotyping KW - yield estimation KW - agriculture KW - orthomosaic KW - uav KW - potatoes N2 -

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:

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