RGB-HydroBarley3: RGB images for nutrient deficiency recognition of barley in hydroponic culture from 2020
Simple
- 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.
- Creator
- Marion Deichmann
- Publisher
- Institute of Crop Science and Resource Conservation (INRES), University of Bonn
- Publication Year
- 2024
- Resource Type
- Dataset
- Identifier
- 9101069a-0866-4676-bd36-2c2710f0a330