Barley plants of variety Barke, Criewener, Hanna and Ragusa have been grown in nutrient solutions that were deficient in N, P, K, Mg, Ca, S, B, Cl, Cu, Fe, Mn, Mo, Ni or Zn or had a toxic concentration of Al or Mn. The plant development was documented twice a week by RGB images for four weeks. The nutrient treatment and genotype per image are documented in the images annotations.

The dataset RGB-HydroBarley2 contains 15647 RGB images of 8 time points 19. March - 16. April 2020 of four genotypes of spring barley from a hydroponic experiment in greenhouse at University of Bonn including single-nutrient deficiencies of all 14 essential mineral nutrients plus Al toxicity. The images are annotated with genotype and fertilizer management and have been taken for a Deep Learning approach for nutrient deficiency recognition.

The dataset RGB-HydroWheat1 contains 16298 RGB images of 8 time points 11. may - 4. jun 2020 of five genotypes of winter wheat from a hydroponic experiment in greenhouse at University of Bonn including single-nutrient deficiencies of all 14 essential mineral nutrients plus Al and Mn toxicities. The images are annotated with genotype and fertilizer management and have been taken for a Deep Learning approach for nutrient deficiency recognition.

The dataset NutriDat-HydroBarley3 contains nutrient concentration and morphpogical trait data of four genotypes of spring barley from a hydroponic experiment in greenhouse at University of Bonn in 2020 including single-nutrient deficiencies of all 14 essential mineral nutrients plus Al and Mn toxicity.