RGB-HydroBrassica: RGB images for nutrient deficiency recognition in single Brassica plants from hydroponic culture

The dataset RGB-HydroBrassica contains 16,701 RGB images of 5 time points 23. June - 5. July 2021 of five Brassica genotypes from B. oleracea and B. rapa, at two ploidy levels each, from a hydroponic greenhouse experiment at University of Bonn. The images are annotated by genotype, ploidy level and fertilizer management and have been taken for a Deep Learning approach for nutrient deficiency recognition.