Title

RGB-HydroBarley2: RGB images for nutrient deficiency recognition of barley in hydroponic culture from 2020

Description

The dataset RGB-HydroBarley2 contains 15647 RGB images of 8 time points 19. March - 16. April 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 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

Dep. of Plant Nutrition, INRES, University of Bonn

Publication Year

2024

Resource Type

Dataset

Identifier

4404c29e-2c36-44f6-a2d2-fead5cdf641d