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RGB-HydroBarley1: RGB images for nutrient deficiency recognition of barley in hydroponic culture from 2020

Simple

Title
RGB-HydroBarley1: RGB images for nutrient deficiency recognition of barley in hydroponic culture from 2020
Description
The dataset RGB-HydroBarley1 contains 11160 RGB images of 6 time points 23. Jan - 14. Feb 2020 of five 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 Mn-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
Institute of Crop Science and Resource Conservation (INRES), University of Bonn
Publication Year
2023
Resource Type
Dataset
Identifier
618992aa-86cb-4ff2-a5c0-4cfe6c1eb204
 

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