RGB-HydroWheat3: RGB images for nutrient deficiency recognition of wheat in hydroponic culture from 2020
Simple
- Title
- RGB-HydroWheat3: RGB images for nutrient deficiency recognition of wheat in hydroponic culture from 2020
- Description
- The dataset RGB-HydroWheat3 contains 11954 RGB images of 6 time points 28. Sep - 15. Oct 2020 of four genotypes of winter wheat from a hydroponic experiment in greenhouse at University of Bonn including single-nutrient deficiencies of all 14 essential mineral nutrients, Al and Mn toxicity. The images are annotated with, plant part (shoot or root), 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
- 0a2073cc-9323-44e6-96a9-65419100d5c2