Deep Learning for Non-Invasive Diagnosis of Nutrient Deficiencies in Sugar Beet Using RGB Images

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. For more details, please refer to the link: https://github.com/jh-yi/DND-SB.