Title

RGB-SoilPotBarley: RGB images for nutrient deficiency recognition in single spring barley plants from pot experiment

Description

The dataset RGB-SoilPotBarley contains 35,343 RGB images of 8 time points 22. dec 2020 - 21. jan 2021 of four genotypes of spring barley from a pot experiment in greenhouse at University of Bonn. The images are annotated by potnumber which encodes 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

b85f6422-64ab-4b3f-930e-f3d4449c5083