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RGB-HydroBarley2: RGB images for nutrient deficiency recognition of barley in hydroponic culture from 2020

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Title
RGB-HydroBarley2: RGB images for nutrient deficiency recognition of barley in hydroponic culture from 2020
Description
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.
Creator
Marion Deichmann
Publisher
Dep. of Plant Nutrition, INRES, University of Bonn
Publication Year
2024
Resource Type
Dataset
Identifier
4404c29e-2c36-44f6-a2d2-fead5cdf641d
 

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