RGB-HydroBarley3: RGB images for nutrient deficiency recognition of barley in hydroponic culture from 2020

Title: RGB-HydroBarley3: RGB images for nutrient deficiency recognition of barley in hydroponic culture from 2020

Description: The dataset RGB-HydroBarley3 contains 12258 RGB images of 6 time points 22. jun - 10. jul 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 and Mn toxicity. The images are annotated with genotype and fertilizer management and have been taken for a Deep Learning approach for nutrient deficiency recognition.

Publisher: Institute of Crop Science and Resource Conservation (INRES), University of Bonn

Spatial extent

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