We present the Deep Nutrient Deficiency for Sugar Beet (DND-SB) dataset, which contains 5648 RGB images of sugar beet captured over the whole growth period in 2019 at the long term fertilizer experiment (LTFE) Dikopshof near Bonn. The images were annotated with seven types of fertilizer treatments. The dataset is used for image classification and domain adaptation and is already published.

We present the Deep Nutrient Deficiency - Dikopshof - Winter Wheat and Winter Rye (DND-Diko-WWWR) dataset, which consists of 1,800 RGB images of winter wheat (WW2020) and 1,800 RGB images of winter rye (WR2021). The images were captured by a camera mounted on a UAV at three time points at the long-term fertilizer experiment (LTFE) Dikopshof near Bonn, Germany. The images were annotated with seven types of fertilizer treatments. The dataset is used for image classification. For more details, please refer to the link: https://github.com/jh-yi/DND-Diko-WWWR.