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

<p>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.&nbsp;The images were annotated with seven types of fertilizer treatments. The dataset is used for image classification and domain adaptation.&nbsp;For more details, please refer to the link:&nbsp;<a href="https://github.com/jh-yi/DND-SB">https://github.com/jh-yi/DND-SB</a>.&nbsp;</p>