RGB-HydroBrassica: RGB images for nutrient deficiency recognition in single Brassica plants from hydroponic culture
Simple
- Title
- RGB-HydroBrassica: RGB images for nutrient deficiency recognition in single Brassica plants from hydroponic culture
- Description
- The dataset RGB-HydroBrassica contains 16,701 RGB images of 5 time points 23. June - 5. July 2021 of five Brassica genotypes from B. oleracea and B. rapa, at two ploidy levels each, from a hydroponic greenhouse experiment at University of Bonn. The images are annotated by genotype, ploidy level 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
- 0a6760d4-3149-4095-8195-371268b68e19