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