The dataset RGB-SoilPotWheat contains 39463 RGB images of 10 time points 23. Feb - 22. March 2021 of four genotypes of winter wheat from a pot experiment in greenhouse at University of Bonn. The images are annotated by potnumber which encodes 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 RGB-HydroWheat3 contains 11954 RGB images of 6 time points 28. Sep - 15. Oct 2020 of four genotypes of winter wheat from a hydroponic experiment in greenhouse at University of Bonn including single-nutrient deficiencies of all 14 essential mineral nutrients, Al and Mn toxicity. The images are annotated with, plant part (shoot or root), genotype and fertilizer management and have been taken for a Deep Learning approach for nutrient deficiency recognition.

The dataset RGB-HydroWheat2 contains 13397 RGB images of 5 time points 28. Aug - 11. Sep 2020 of four genotypes of winter wheat from a hydroponic experiment in greenhouse at University of Bonn including single-nutrient deficiencies of all 14 essential mineral nutrients, Al and Mn toxicity. The images are annotated with, plant part (shoot or root), genotype and fertilizer management and have been taken for a Deep Learning approach for nutrient deficiency recognition.