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